Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

THIS book has done more than any other to popularize the use of modern statistical methods. Thousands of workers have been taught to use statistical machinery without the burdensome necessity of ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

Methods to help understand how people differ in their response to treatment: People may respond differently to treatments - for some they may be effective, but for others less so. This might be due to ...

Hypothesis testing, sometimes called significance testing, is a statistical method where an analyst tests an assumption regarding a population. The methodology employed by the analyst depends on ...

Analysis of variance (ANOVA) is a statistical method for determining whether differences in group means are statistically significant or likely due to random variation. Analysis of variance (ANOVA ...

The course is designed for students without a strong background in Mathematics, e.g. without A level Mathematics, and is suitable for students who wish to learn basic statistical methods for analysing ...

This course is compulsory on the MSc in Quantitative Methods for Risk Management ... MSc in Financial Mathematics, MSc in Statistics (Financial Statistics) and MSc in Statistics (Financial Statistics) ...

This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate statistical methods and covers various applications of ...

Papers in this series provide tutorials on statistical methods that are used in precision oncology, such as methods in discovery phase, diagnostics, and drug development. The goal of the series is to ...