Statistical Aspects Research Articles

Zhao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Zhao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Peter J. Diggle's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Peter J. Diggle's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Anna L. Choi and Tze Leung Lai's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Anna L. Choi and Tze Leung Lai's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Xiaoping Shi, Yue Zhang and Yucheng Dong's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Xiaoping Shi, Yue Zhang and Yucheng Dong's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Kuldeep Kumar's First Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Kuldeep Kumar's First Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Shaoran Li, Oliver Linton and Shuyi Ge's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Jiang, Zhao and Shao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Jiang, Zhao and Shao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Alex R. Cook, Kwok Pui Choi and Weng Kee Wong's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the COVID-19 Pandemic’

Alex R. Cook, Kwok Pui Choi and Weng Kee Wong's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the COVID-19 Pandemic’

Christine P. Chai's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Christine P. Chai's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Kuldeep Kumar's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Kuldeep Kumar's Second Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Seconder of the Vote of Thanks and Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Seconder of the Vote of Thanks and Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Tao Wang's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Tao Wang's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Kingsuk Jana, Lagnajita Basu and Kaushik Jana's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Kingsuk Jana, Lagnajita Basu and Kaushik Jana's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Wei Zhong, Chuang Wan and Changliang Zou's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Wei Zhong, Chuang Wan and Changliang Zou's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Alessio Farcomeni and Marco Geraci's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Alessio Farcomeni and Marco Geraci's Contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid-19 Pandemic’

Sustainable Development of Apparel Industry in Bangladesh: A Critical Review

Bangladesh’s apparel industry has become the country’s economic foundation. The textile and apparel employees especially over four million people. In this major industrial sector, it is critical to encourage sustainability. When the apparel market and corporations focus on environmentally friendly products, Bangladesh’s textile and apparel sectors remain far behind, putting the country at risk of losing market share. It is right of passage to implement techniques and a long-term strategy to sustainability. Bangladeshi apparel industries are currently facing significant issues in terms of labor conditions. In garment manufacturers, fires are a common occurrence. Thousands of workers have perished because of these dangers. Due to Bangladesh’s fire and safety difficulties, several foreign purchasers have already opted not to do business with the country again. Furthermore, workers receive the world’s lowest pay, which leaves them dissatisfied and frequently results in conflicts and violence during protests poor wages. This study is conveyed based on theoretical, analytical, and statistical aspects. The goal of this study is to represent the overall picture of sustainability in the apparel industry in Bangladesh. This study illustrates on using a life cycle approach to assessing manufactured products for environmental indicators to attain sustainability, fast fashion, government policy of sustainability, new method and material of garments and compare with the lifestyle of Europe against Bangladesh. This paper investigated Bangladesh’s garment industry’s working environment, fire, and safety hazards, and made suggestions for important environmental and sustainability activities. This study is helpful to all the people because sustainability is the main concern in a day.

Mixture of Akash Distributions: Estimation, Simulation and Application

In this paper, we propose a two-component mixture of Akash model (TC-MAM). The behavior of TC-MAM distribution has been presented graphically. Moment-based measures, including skewness, index of dispersion, kurtosis, and coefficient of variation, have been determined and hazard rate functions are presented graphically. The probability generating function, Mills ratio, characteristic function, cumulants, mean time to failure, and factorial moment generating function are all statistical aspects of the mixed model that we explore. Furthermore, we figure out the relevant parameters of the mixture model using the most suitable methods, such as least square, weighted least square, and maximum likelihood mechanisms. Findings of simulation experiments to examine behavior of these estimates are graphically presented. Finally, a set of data taken from the real world is examined in order to demonstrate the new model’s practical perspectives. All of the metrics evaluated favor the new model and the superiority of proposed distribution over mixture of Lindley, Shanker, and exponential distributions.

Need of Strong Biostatistics Component in Medical Colleges in India: Time to Accept the Overdue Reality

Statistics may be defined as “Methods to plan a study scientifically, collect quality data, analyze appropriately, interpret analytical results correctly and derive implications accurately.” To be more specific, all methods of gaining knowledge are essential statistics. Statistics principles remain the same regardless of the area in which it is used. However, it is differentiated by area of its use, like biostatistics, while it is used in medical sciences, business statistics in business research, and agricultural statistics in agricultural sciences. A host of literature is available on various aspects of statistics, including its varying applications, uses and misuses. The present write-up aims to briefly emphasize the need of strong biostatistics components in medical colleges in India.