Abstract: Statistics deals with collection, organization, and analysis of data. Organization and description of data is studied under descriptive statistics, whereas analysis of data and making ...

Some of these technological changes include the development of alternative fuel vehicles like electric cars; and modifications to the weight and power of vehicles to reduce fuel consumption and ...

The present paper deals with the application of elementary statistical methods for finding this best frequency distribution of the deviations. In other words, the present paper points out some of the ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

Profile code with profvis to identify bottlenecks.

The course focuses on methods for modern data analysis both within a practical and theoretical framework. Fewer assumptions are made when using these methods, such as machine learning or statistical ...

This often takes the form of a null hypothesis, which is a statistical hypothesis that states there will be no difference between observed and expected data. The null hypothesis is proposed by a ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

This short course will enable you to develop your understanding of the statistical basis of generalised linear modelling (GLM) and its application in different situations, including the GLM regression ...

A team of researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital ...

Data and statistics are rapidly changing with the introduction of new methods and complex datasets ... We will apply software engineering techniques to statistical production to automate our processes ...