Kategoria BISAC: Mathematics >> Probability & Statistics - Regression Analysis

This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors

• Includes a wide array of applications for the analysis of multivariate observations
• Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics
• Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic
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A well-balanced introduction to probability theory and mathematical statistics

Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics.

An Introduction to Probability and Statistics, Third Edition includes:

• A new section...

This book discusses current methods of estimation in linear models. In particular, the authors address the methodology of linear multiple regression models that plays an important role in almost every scientific investigations in various fields, including economics, engineering, and biostatistics. The standard estimation method for regression parameters is the ordinary least square (OLS) principal where residual squared errors are minimized. Applied statisticians are often not satisfied with OLS estimators when the design matrix is ill-conditioned, leading to a multicollinearity problem...

A one–stop guide for public health students and practitioners learning regression analysis and statistical methods

This book is written for public health professionals and students interested in applying regression models in the field of public health. The academic material is usually covered in the following courses: (i) Applied Regression Analysis, (ii) Advanced Epidemiology, and (iii) Statistical Computing for Applying Statistical Modeling. The book is composed of 13 chapters including an introduction chapter that covers basic concepts of statistics and probability....