Statistical Method For Calculation Research Articles

تأثير استخدام طريقة الباقيان الضيفان على قدرة التلاميذ على استيعاب المفردات العربية

The research method used is quantitative research in the form of an experiment, utilizing statistical calculation methods. The purpose of this study is to determine the value of understanding Arabic vocabulary using the Two Stay Two Stray method and not using it in the seventh grade at Ma'had Imam Adz-Dzahabi Kampar. Additionally, it aims to understand the influence of the Two Stay Two Stray method on students' ability to understand Arabic vocabulary in the seventh grade at Ma'had Imam Adz-Dzahabi Kampar. The results obtained from this study show that the average score of students in understanding Arabic vocabulary after the implementation of the Two Stay Two Stray method is 84.79, whereas the average score before the implementation of this method was 74.12. The study also indicates that this method affects students' ability to understand Arabic vocabulary based on the t-test calculation results of 2.06 < 8.76 > 2.80. Therefore, the alternative hypothesis (Ha) is accepted and the null hypothesis (Ho) is rejected. In conclusion, the use of the Two Stay Two Stray method can influence students' vocabulary. There is a difference in vocabulary learning between using the Two Stay Two Stray method and not using this method.

The Effect of Board Race Game Towards Students’ Vocabulary Mastery At The Eighth Grade Students of MTs Nurul Hidayah Malingping Lebak Banten in Academic Year 2023/2024

This This study aimed to investigate The Effect of Board Race Game Towards Students’ Vocabulary Mastery at the Eighth Grade Students of MTs Nurul Hidayah Malingping Lebak Banten in Academic Year 2023/2024. The research uses quantitative approach and quasi-experimental design. This study used two classes, they are control class and the experimental class. The technique used for collecting sampling is purpose sampling; the researcher uses class VIII A (20 students) as the control class and class VIII B (20 students) as the experimental class. The experimental class was given treatment board race game, while the control group was given treatment guessing game. In data collection technique, the researcher performs pre-test and post-test. The control group's pre-test score was 1044, while the experimental group's pre-test score was 1184. The control group's post-test score was 1250, while the experimental group's post-test score was 1387. During the process to analyze the data, the researcher used the SPSS 25 statistical calculation method and used the post-test results of both the control and experimental classes to analyze and test the hypothesis. The researcher finds the results Two-sided significance = 0.000 < α 0.05. Therefore, the researcher concludes that board race use has a significant impact on students' vocabulary mastery in MTs Nurul Hidayah Malingping Lebak Banten.

Improving Basic Locomotor Movement Skills in Elementary School Students Through an Active Learning Approach Based on Traditional Games

This research aims to improve basic locomotor movement skills in grade 5 elementary school students through active learning interventions based on traditional games. In this research, researchers used a quasi-experimental research design with stratified random sampling. Two groups of students were selected, where one group was given active learning intervention, while the other group was a control group that received conventional learning. The research instruments used included basic movement skills tests, student response questionnaires, participant observation, and field notes. The collected data was analyzed using descriptive statistical methods and the T test to compare the differences between the two groups before and after the learning intervention. The statistical calculation method used was the T test, which was used to compare the differences between the experimental group and the control group in terms of improvement in basic locomotor movement skills after the intervention. By using the T test, researchers can evaluate whether there are significant differences between the two groups and whether traditional game-based active learning interventions are effective in improving the basic movement skills of grade 5 elementary school students. The research results show that traditional game-based active learning interventions have a significant positive impact in improving basic locomotor movement skills in grade 5 students. This shows the important potential of interactive and fun learning methods in improving the quality of learning and the development of students' motor skills. In conclusion, active learning interventions based on traditional games can be effective in improving basic locomotor movement skills in grade 5 elementary school students. This research provides important implications for the development of a more inclusive and student-centered curriculum at the elementary school level.

BF.7: a new Omicron subvariant characterized by rapid transmission

ObjectivesBF.7 (BA.5.2.1.7) is a novel sublineage of Omicron BA.5, whose clinical characteristics are not yet established. MethodsFrom 28 September 2022 to 3 October 2022, the first 421 patients with BF.7 were assessed in Hohhot China and the clinical data were extracted and analysed. The basic reproduction number (R0) was estimated using a statistical model calculation method. ResultsThe R0 value was determined to be 13.79 (95% confidence interval: 12.44–15.24). The mean age was 33.43 ± 18.78 years. Asymptomatic, mild, moderate, severe, and critical patients accounted for 12.35% (52/421), 82.42% (347/421), 4.75% (20/421), 0.24% (1/421), and 0.24% (1/421) proportion, respectively. The main clinical symptoms were fever accounting for 41.09% (173/421), cough accounting for 41.09% (173/421), and throat dryness and soreness accounting for 30.88% (130/421). In the 3-dose vaccination subgroup, 31.22% (64) cases had a fever, which were significantly lower than 51.37% (96) cases of the 2-dose vaccination subgroup (p 0.000). The rates of abnormally increased C-reactive protein level in the 2-dose and 3-dose vaccination subgroups were 10.16% (19/187) and 4.88% (10/205), significantly lower than 66.67% (10/15) of the 1-dose vaccination subgroup (1-dose vs. 2-dose: p 0.000, 1-dose vs. 3-dose: p 0.000). Notably, the population with complete 3 doses of vaccination did not exhibit any severe or critical status. DiscussionBF.7 exhibited a higher transmission than previously emerged SARS-CoV-2. The vaccine against COVID-19 was found to relieve fever, nausea, and vomiting as well as reduce the abnormal ratio of lymphocytes, eosinophils, neutrophils, and the C-reactive protein level.

Evaluation of the Data Centre Waste Heat Potential in District Heating in Latvia

Data centres are large global energy consumers that create low-temperature waste heat. To alleviate the impact of the temperature increase on the information technology equipment, the data centres are cooled with different technical solutions, drastically increasing the facilities’ power consumption. In different regions, the use of data centre waste heat combined with heat pumps in district heating systems was identified as a lower-cost heat energy generation solution compared to alternative fossil or renewable energy-based heating solutions. The research paper aims to identify the data centre’s waste heat potential as an energy source in district heating in Latvia. The technical and economic potential for using heat pumps in the data centre’s waste heat systems was evaluated. To reach the goal of the study, a mixed methodological approach was used divided into four steps: the creation of the statistical calculation method, stakeholder survey to evaluate the energy consumption, mapping of the quantitative results to evaluate technical potential and distribution patterns, and system dynamics modelling to evaluate possible adoption scenarios of the technological solutions. The results of the research reveal a heterogenic distribution of data centres in Latvia, which limits the use of waste heat at the national level. Furthermore, the study identified the total waste heat potential of data centres in Latvia and provided recommendations for the adoption of data centres’ waste heat based on the results of the system dynamic simulations.

ПРОБЛЕМИ З РІВНЕМ ОПЛАТИ ПРАЦІ ЯК ЧИННИКОМ МОТИВАЦІЇ ПЕРСОНАЛУ В ІНДУСТРІЇ ГОСТИННОСТІ УКРАЇНИ

The issues of motivation, satisfaction and engagement of employees of the hospitality industry are central to management in the specified area, since business performance in the hospitality industry is characterized by a high level of dependence on the available human capital and, in particular, its personal qualities, skills, professionalism and administrative abilities. That is why it is vitally important for any business entity in the specified field to ensure effective personnel management and the formation of effective systems for its stimulation. The factor of remuneration of the personnel of the hospitality industry is in the field of view of both domestic and foreign scientists, which proves the universality of the specified problem for the global economic sector. However, with all the activity of researchers of the systems and factors of labor motivation in the hospitality industry, little attention is currently paid to the issue of the level of remuneration in the industry, especially in the domestic scientific field. Instead, it is the level of remuneration in the industry as a whole that is not only a motivational factor for certain individuals, but also a significant incentive for its general development, building up personnel potential, reducing the turnover rate, etc. The purpose of the study is to analyze the pay level in the field of hotel and restaurant business as a factor of staff motivation. Methods. The study analyses the pay level of personnel in the hospitality industry, following the data of the official statistics, according to the criteria of gender and profession. Systematization methods are used to select the key indicators in accordance with the selected criteria, the statistical frequency calculation method is applied to develop the distribution series of the studied indicators, as well as the methods of structural analysis and analytical study of data are implemented to process the materials of the domestic job search portal. The results. The article offers a critical review of the research on the pay level in the hotel and restaurant business as a motivational factor for productive work. The study presents a comparative and analytical assessment of the indicators of remuneration of the hospitality industry in relation to other spheres of economic activity. It suggests the constructed interval series of the distribution of the wage index of the employees of the hotel and restaurant business of Ukraine according to the criteria of gender and professional group. The paper provides a structural analysis of employment in the hospitality industry according to the criteria of gender and formal employment. The findings of the research identify the vacancy market of the hospitality industry of Ukraine during the full-scale war and the key problems with wages in the industry.

Analysis of The Influence of Product Quality and Price on Customer Loyalty Through Customer Satisfaction as An Intervening Variable in Restaurants Hisana Fried Chicken Surabaya

Every entrepreneur in the culinary field is required to compete competitively in terms of improving product quality and managing price factors to be able to create consumer satisfaction which can affect loyalty. The research location was conducted at one of the Hisana Fried Chicken outlets in the Surabaya area. The criteria for the consumer sample are those who are over 17 years of age and also have at least become Hisana customers, with a minimum of 2 (two) previous purchases in the last 1 (one) month. The number of samples is 100 respondents. The statistical analysis calculation method uses the SPSS program in processing and evaluating the results of the questionnaire to test the quality of the data, while to process and evaluate the results of the path analysis test, hypothesis to evaluate the 'goodness of fit indices' model using the Structural Equation Modeling (SEM) method with the AMOS program. The results of data processing show (1) product quality has a positive and significant effect on consumer satisfaction (2) product quality has a positive and significant effect on consumer loyalty (3) price has a significant negative effect (opposite) on customer satisfaction (4) price has a significant effect negatively (contrary) to consumer loyalty (5) customer satisfaction is positive but does not have a significant effect on customer loyalty.

THE ROLE OF DIGITAL MEDIA FOR DIGITAL TRADE IN BANKING SERVICES IN A VOLATILE ENVIRONMENT

In the 21st century, the European banking system is going through a period of fundamental structural changes caused by global challenges that will determine its future ability to serve the financial needs of the economy on digital platforms. The aim of this research is to study how electronic social media influence the effectiveness of e-banking in the context of banking sector instability. The empirical model for determining the impact of digital media was developed on the basis of theoretical concepts and tested on a sample of 307 respondents from banking institutions (UniCredit, Raiffeisen, PrivatGroup) and 2,800 consumers of banking services through quantitative methods, as well as economic and statistical calculation methods. The obtained results show that digital social media have a quite strong effect (r=0.788) on creating consumer loyalty and increasing indicators of digital trade in banking services. The theoretical significance of this study is the synthesis of scientific approaches to the creation of a conceptual method for determining the effectiveness of engaging digital media resources as a marketing tool for improving the effectiveness of digital trade in banking services. The key practical aspect is the combination of theoretical approaches and business experience in optimizing and improving the use of electronic social media in the trade in banking services in a difficult period of economic development.

Implementation of Trend Moment Method in Forecasting Regional Income

In order to carry out the functions and authorities of local governments in the form of implementing fiscal authority, regions must be able to recognize potential and identify the resources they have. Forecasting is an art and science in predicting future events. The Regional Financial and Asset Management Agency (BPKAD) of Asahan Regency does not yet know the Regional Revenue in the upcoming period & is not yet available a system that can calculate Regional Revenue for the upcoming period. The main purpose of this research is to know the prediction of Regional Income in the following year. The system created helps in determining Regional Revenue in 2022, with data used from 2011 – 2021. The Trend Moment method is a method that uses certain statistical and mathematical calculation methods to find out the function of a straight line instead of a broken line formed by the company's historical data. In choosing the forecast method, accuracy is needed to minimize errors in forecasting (forecast error), the goal is that the forecast can approach reality. Based on the results of system testing, this Regional Revenue Forecasting predicts regional revenue in 2022, which is IDR 136,847,395,228.82 and the result of the percentage of errors (MAPE) Mean Absolute Percentage Error of 0.12%.

KONDISI EXISTING SOSIAL EKONOMI DAN BUDAYA MASYARAKAT SEKITAR PERTAMBANGAN BATUBARA DI KECAMATAN ANGSANA KABUPATEN TANAH BUMBU PROVINSI KALIMANTAN SELATAN

The presence of mining companies is expected to bring benefits and prosperity to the surrounding community. Angsana District, Tanah Bumbu Regency has several coal mining companies operating. The intent of research is to know the existing social, economic and cultural conditions of the community around coal mining. The research method is statistical test calculation method and interactive model (Miles and Hubermen). Sampling and Observation through data collection using interviews and documentation with observations in Angsana District, on Ring I, Ring II and Ring III of the research area. Result : Ring III community income level is higher than Ring I and Ring II, social conditions have a relatively positive and negative impact, cultural conditions have little influence. The conclusion is that the existing social, economic and cultural conditions around coal mining in Angsana District have increased.

A Novel Polarimetric Channel Imbalance Phase Estimation Method Based on the Rotated Double-Bounce Backscatters in Urban Areas

Polarization calibration without artificial calibrators has been one of the focuses of research and discussion for PolSAR communities. However, there is limited research on the treatment of dual-polarization systems and the calibration methods for getting rid of distributed targets. In this paper, we contribute to proposing a new and convenient method for estimating the polarimetric channel imbalance phase at the transmitter and receiver, which can be used for both quad-pol and dual-pol SAR systems. We found a brand-new reference object in the urban area scene, namely the effective dihedrals. A statistical calculation method was proposed correspondingly, which obtained an effective estimation of the channel imbalance phases. The theoretical explanation of the proposed method was consistent with the statistical phenomena presented in the experiments. The technique was illustrated and verified through C-band SAR images, including GaoFen-3 (GF-3) data and Sentinel-1 data. The technique was also validated and successfully applied in airborne SAR data of P, L, S, C, and X bands. The estimation error could be within 7° when crosstalk items were less than −30 dB. The method realizes a fast and low-cost dual-polarization phase imbalance estimation and provides a new technical approach to supplement the traditional tropical-rainforest-based quad-pol system calibration. The method can be conveniently applied to the monitoring of polarization distortion parameters, ensuring good polarization SAR data quality.

Marketing Research of Supply and Demand in the Regional Energy Market

The study is devoted to the energy market of the Sughd region of the Republic of Tajikistan. The features of marketing in the energy sector are highlighted and the authors’ interpretations of the definition of “marketing” in the energy sector are given. The functions of marketing activities in the development of the energy sector of the region are considered. Examples of the correlation between supply and demand for energy products, including electricity, are given for further forecasting the consumption of these products. The ratio analysis of supply and demand of electricity in a certain area was carried out. To identify factors affecting the demand of electricity consumers, an analysis was carried out using statistical and mathematical calculation methods. As a result, a factor that has a greater influence on the demand of electricity consumers has been identified. The ways of solving marketing research for the further successful functioning of the energy company in the interests of society and the social well-being of the population are proposed.Purpose of the study. The purpose of this paper is to study the state of the regional energy market on the basis of marketing research that characterizes the activities of an energy company; identification of indicators such as consumer dissatisfaction with energy products. The paper is based on a dynamic analysis of analytical and statistical information about ongoing processes in the energy sector. The task is to conduct marketing research of supply and demand in the regional energy market.Materials and methods. The information base of the study is analytical information and statistical data on indexes of supply and demand for energy products, including electricity. The methodological basis of the study is represented by statistical methods of information analysis: comparative analysis and analysis of time series.Results. Based on the results of an economic and statistical analysis of consumer demand indicators for the use of energy products, including electricity, factors influencing demand have been identified. Of the three selected factors, it is especially worth noting the demand of consumers using electricity, which are population density indexes, weather conditions and the number of rainfall days in a particular region, it is theoretically established that population density is a more influential index.Conclusion. Energy is the main branch of the national economy of the country, which contributes to the development of the economy and the normal life of the population. Until now, the problem of providing the population and the national economy of the regions of the republic with energy goods and electricity makes us think about new ways to solve the problem. Since hydroelectric power generation in the country is the share of hydroelectric power plants, given the economic and social condition of the country in the power supply system, it will be appropriate to create a marketing system platform.

Penerapan Algoritma Naïve Bayes Untuk Diagnosa Hama Pada Tanaman Aglaonema SP dan Monstera Adansonii

Aglaonema sp and Monstera Adansonii are the most popular ornamental plants during the COVID-19 pandemic. Aglaonema sp and Monstera Adansonii become the target of the keepers because the colors and patterns on the leaves are unique. Despite the high popularity of Aglaonema sp and Monstera adansonii, not many keepers know the problems faced by their plants. The least number of triggers is knowledge of the keepers in caring for their plants. Therefore, to help the community in maintaining Aglaonema sp and Monstera Adansonii plants, an expert or expert in the field of ornamental plants is takes. Due to the difficulty of finding an expert, a system that is able to keep knowledge from an expert is required. An expert system is part of an intelligence that uses a person's knowledge that is summarized and processed carefully to solve problems. One of the statistical data calculation methods is Naïve Bayes. The Naïve Bayes method is a computational technique for predicting probabilities by calculating how many possible sets by adding up the frequency and combined values ​​of the dataset. The software created is able to share understanding with the community about Aglaonema sp and monstera adansonii plants and what treatment should be given to their ornamental plants

Analysis of the Potential of Restaurant Taxes in Increasing Medan City's Original Revenue

The purpose of this study was to analyze the potential for a restaurant tax and explain the limitations and efforts of the state government in exploring the potential cost of restaurants in Medan City. This review uses several factors to calculate, potency, effectiveness/feasibility, and restaurant tax contributions. These factors are the number of restaurants, the average diner, the cost of normal food, the number of days in a year, the number of regional admissions, and the level of restaurant costs set by the government. Using quantitative strategies. That is, data in the form of numbers, and the numbers can be processed or analyzed using mathematical or statistical calculation methods. In addition, the results show that restaurant costs are possible and unbalanced with the value of income or realization of restaurant tax costs. This comparative measurement is reflected in the effectiveness of restaurant taxes that do not exceed 100 percent annually. This study proves that the potential for a restaurant tax in the city of Medan in 2020 is less effective, not in accordance with the targets set.

Adaptive variability of basil cultivars (Ocimum basilicum L.)

Purpose of the research was to estimate the state of varietal resources and adaptive-and-productive potential of basil plants. Methods. Field, laboratory, statistical and calculation-analytical. The field work included marking out of the experimental plot and field work. The laboratory method was used to analyze plants, assess the quality of the crop, and study physical, chemical and microbiological properties of the soil. Statistical and analytical calculation methods were used to calculate the results. Results. The varieties of ‘Temnyi Opal’, ‘MFI-2’, ‘Siaivo’ and ‘Badioryi’ where the regression coefficient was in the range of 0.57–0.78 can be included to the group of highly plastic varieties by the “commodity yield” feature according to the results of research. The highest rate of breeding value by the “plant weight” trait was observed in the variety of ‘Temnyi Opal’, Sc = 347.22. The group of highly plastic varieties on the basis of “plant weight” trait included the varieties ‘Mister Barns’, ‘MFI-2’, ‘Rutan’, ‘Siaivo’ and ‘Badioryi’, where the regression coefficient was in the range of 0.91–0.99. The varieties ‘Temnyi Opal’, ‘Yerevanskyi’, ‘Ametyst’ and ‘Lymonnyi Aromat’ were classified as intensive. The regression coefficient of these varieties was in the range of 1.03–1.16. The analysis of the combination of high productivity, quantitative characteristics of the crop structure with the level of ecological plasticity and stability indicates different ways of these indicators formation in separate varieties. It was revealed that a high level of plasticity and yield stability did not guarantee a similar result on some quantitative features of its structure. Conclusions. The degree of adaptability of basil varieties can also be assessed by the value of the parameters of features variation. The obtained results will allow more objectively assessing the adaptive-and-productive potential of varieties and qualitatively selecting initial forms for further breeding for adaptability.

A look at the problem of exposure of the population caused by X-ray diagnostics: approaches to analysis and forecasting

The article is devoted to the analysis of limitation of dose load on the population as a result of radiological researches. It is especially actual and represents rather high scientific and practical interest. In this regard, it is very important to have information about the state of the dose load of the population in separate regions and to rank types of diagnostics by the amount of their contribution to the total dose of medical exposure. The aim of the work was to study the state of dose load of the population of Zaporizhzhia region due to X-ray diagnostics, to develop approaches to analysis and forecasting regarding its limitation. Analytical, statistical calculation and logical generalization methods were used in the course of the work. We used the results of studies carried out in accordance with the regional “Program for the Protection of the Population of Zaporizhzhia Region from the Effect of Ionizing Radiation. The authors analyzed scientific publications (15 sources), including 9 Ukrainian and 6 foreign on the relevance of the problem of exposure of the population caused by X-ray diagnostics. The analysis of the results allowed to determine that in 2010-2014 the radiation dose of the population of Zaporizhzhia region due to X-ray diagnostics averaged 0.92 mSv year-1, in 2015-2016 the dose increased and amounted to 0.96 mSv year-1. The proposed approach to the analysis makes it possible to summarize and model data on radiological studies of the population over a long period of time, to identify persistent trends in the contribution of different types of radiation diagnostics to the dose of medical radiation. All this is necessary for the development, first of all, of measures to reduce the frequency of radiography, its replacement by other diagnostic methods. Priority tasks aimed at reducing the dose load of the population due to X-ray examinations are proposed.

Analysis of Waiting Time Using Three Mixtures Exponential Distribution

Mixed exponential distributions play a significant role in lifetime data analysis, but if we use traditional statistical methods to estimate the parameters in the model, it will be very difficult. However, we employed the Expectation-Maximization (EM) algorithm to estimate the parameters of the model. It will simplify the complexity of the calculation. This paper studies the parameter estimation problem in a complete data situation and gives Monte Carlo (MC) simulation. The EM algorithm is good to estimate the parameters for the three mixed exponential distributions. The parameters estimating were remarkably close to the real values; simultaneously, the samples' RMSE values are more and smaller along with the increase of the sample size so that the method can be regarded as a kind of very effective statistical analysis calculation method. Results show that the algorithm based on EM to estimate the parameters of the mixed exponential distribution is remarkably effective. An application was made at the three phases waiting time in the Rasheed Bank in AL-Mustansiriyah University. The results showed that the estimating mean waiting time by EM algorithm for then the audit stage phase has the biggest proportional in this process which has formed (48%) from total mixture distribution component with scale parameter (0.46 hours), then the provide information phase (32%) with scale parameter (0.44 hours), then the stage of the cashier (20%) with mean waiting time (0.32 hours).

Statistical Calculation Method and Analysis of Athletes’ Biorhythm State and Sports Injury

In recent years, attention has been focused on the prevention and treatment of sports injuries. However, no athlete injury prevention system has been established. Athletes’ injury prevention has become an important research field, but it is still used in current sports injury statistics. Traditional calculation methods are difficult to meet the requirements of modern halo. In order to understand the relationship between the athlete’s biorhythm state and the statistical calculation method of sports injury and to reduce the damage caused by sports injury to athletes, we have carried out statistics on various physical parameters of athletes in a certain university in this city through example analysis and creatively introduced the statistical calculation method of the fault tree, and the corresponding results provide a certain research foundation for the subsequent research. The research results in this article prove that formulating a suitable sport mode for athletes can improve their athletic ability by more than 10%, reduce damage to athletes, and extend their professional life. Generally speaking, athletes’ injuries can be reduced by more than 15%. This shows that appropriate injury statistics calculation methods and research on sports injury prevention in advance are extremely important for athletes.

An overview of the principle, algorithm improvement and application based on the theory of latent semantic indexing

Latent Semantic Indexing (LSI) is a latent structural model, aiming to quickly and accurately analyze a large number of texts through statistical calculation methods, and then extract the potential semantic connections between terms, while highlighting the key meanings in the text and weakening the bad influence of polysemy of the words. LSI can simplify the text vector and reduce the dimensionality, with high recall and retrieval speed. This article uses examples of spam filtering to introduce in detail the theoretical basis of latent semantic indexing, that is, singular value decomposition and the construction of multi-dimensional conceptual spaces. And the important link-weight calculation TF-IDF method uses "Sigmoid function" and "location factor" to optimize, which can further emphasize the importance of different words in the text, and is also more conducive to the construction of latent semantic structure space. Then, the paper briefly introduces two applications: research on job description clustering and construction of patent information classification system using LSI. In the end, we elaborated on the of two latent semantic indexes: retrieval and search, parallel examples: research on job description clustering and construction of patent information classification system, and gave a brief introduction.

Improving accuracy of VI-SLAM with fish-eye camera based on biases of map points

ABSTRACT This paper aims to correct camera pose estimation results acquired by bundle adjustment (BA) optimization in visual-inertial SLAM (VI-SLAM) approaches. By deriving the relationship between the pose estimation error and the map point biases, the pose estimation error can be further reduced after BA optimization. We then propose a correction algorithm based on a statistical bias calculation method. The method is integrated into a state-of-the-art VI-SLAM framework, and the performance of the modified system is compared with the original system on public datasets. The comparison results confirm that our approach achieves considerable improvements over the original system for absolute pose estimation.