Probability and statistics

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation.

R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics.

Statistics for Physical Sciences is an informal, relatively short, but systematic, guide to the more commonly used ideas and techniques in statistical analysis, as used in physical sciences, together with explanations of their origins.

Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade.

Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

Strategy and Statistics in Clinical Trials deals with the research processes and the role of statistics in these processes.

An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

Practical Business Statistics, Sixth Edition, is a conceptual , realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize, mathematical correctness.

Statistical Methods in the Atmospheric Sciences, Third Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data.

Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course.

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience.

Introduction to Probability Models, Student Solutions Manual (e-only)

Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software.

Statistical Methods, Third Edition, provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines.

This volume builds upon the foundations set in Volumes 1 and 2.

Handbook of Statistics_29B contains the most comprehensive account of sample surveys theory and practice to date.

The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy.

Statisticians and philosophers of science have many common interests but restricted communication with each other.

This new handbook contains the most comprehensive account of sample surveys theory and practice to date.

Markov processes are used to model systems with limited memory.

Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used.

This book is a comprehensive guide to extreme value theory in engineering.

Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products.

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability.

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions.

Markov process theory is basically an extension of ordinary calculus to accommodate functions whos time evolutions are not entirely deterministic.

This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists.

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation.

Boundary Value Problems in Queueing System Analysis

Probabilities and Potential, B

Probabilities and Potential, A

This book provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics,probability and other related areas, should be equipped with.

A lucid presentation of statistical physics and thermodynamics which develops from the general principles to give a large number of applications of the theory.

The purpose, level, and style of this new edition conform to the tenets set forth in the original preface.

Advanced Statistics from an Elementary Point of View is a highly readable text that communicates the content of a course in mathematical statistics without imposing too much rigor.

This monograph presents mathematical theory of statistical models described by the essentially large number of unknown parameters, comparable with sample size but can also be much larger.

This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work.

The majority of modern instruments are computerised and provide incredible amounts of data.

Introductory Statistics

A unique and timely monograph, Visualization of Categorical Data contains a useful balance of theoretical and practical material on this important new area.

This book deals with the impact of uncertainty in input data on the outputs of mathematical models.

Medicine deals with treatments that work often but not always, so treatment success must be based on probability.

The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking.

Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines.

The Handbook presents an overview of most aspects of modernBanach space theory and its applications.

The book presents multivariate statistical methods useful in geological analysis.

Regression Analysis provides complete coverage of the classical methods of statistical analysis.

The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations.

Ross's Simulation, Fourth Edition introduces aspiring and practicing actuaries, engineers, computer scientists and others to the practical aspects of constructing computerized simulation studies to analyze and interpret real phenomena.