Probability & Statistics

This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models. Unlike other books on ...

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, unde...

Starting with the fundamentals of classical smooth optimization and building on established convex programming techniques, this research monograph ...

Often it is more instructive to know 'what can go wrong' and to understand 'why a result fails' than to plod through yet another piece of theory. I...

Provides an easy-to-understand guide to statistical linear models and its uses in data analysis This book defines a broad spectrum of statistical l...

This manual contains answers to the exercise problems given in each of the chapters of the textbook Probability and Random Processes for Engineers....

Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new examples and ex...

A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial mode...

Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Appl...

The theory of large deviations deals with rates at which probabilities of certain events decay as a natural parameter in the problem varies. This b...

Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis ...

R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice...

This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to devel...

This book provides an introduction to basic topics in Real Analysis and makes the subject easily understandable to all learners. The book is useful...

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduc...

The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additio...

Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentat...

Alan C. Acock's A Gentle Introduction to Stata, Revised Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After rea...

Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with E...

Sturm-Liouville problems arise naturally in solving technical problems in engineering, physics, and more recently in biology and the social science...

Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approa...

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models th...

Over the last 50 years, the theory and the methods of reliability analysis have developed significantly. Therefore, it is very important to the rel...

Statistical methods that are commonly used in the review and approval process of regulatory submissions are usually referred to as statistics in re...

Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its imp...

The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologi...

To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create ...

Generalized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distri...

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective ...

Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable agg...

Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated m...

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and ha...

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation,...

Develop Effective Immunogenicity Risk Mitigation StrategiesImmunogenicity assessment is a prerequisite for the successful development of biopharmac...