Probability and statistics

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.

This book aims to work out the distributed economic operation in smart grids in a systematic way, which ranges from model-based to model-free perspectives.

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.

Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook.

Roussas introduces readers with no prior knowledge in probability or statistics, to a thinking process to guide them toward the best solution to a posed question or situation.

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques.

The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that "e;Students must demonstrate a knowledge of the application of statistics to engineering problems.

A Course in Mathematical Statistics, Second Edition, contains enough material for a year-long course in probability and statistics for advanced undergraduate or first-year graduate students, or it can be used independently for a one-semester (or even one-quarter) course in probability alone.

This book is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems.

Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course.

Probability and Statistics is a calculus-based treatment of probability concurrent with and integrated with statistics.

Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS.

This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression.

Introduction to Probability and Statistics for Engineers and Scientists, Third Edition, provides an introduction to applied probability and statistics for engineering or science majors .

Mental Chronometry (MC) comprises a variety of techniques for measuring the speed with which the brain processes information.

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables.

Introduction to Probability Models, Ninth Edition, is the primary text for a first undergraduate course in applied probability.

Biostatistics, Second Edition, is a user-friendly guide on biostatistics, which focuses on the proper use and interpretation of statistical methods.

Mixing up various disciplines frequently produces something that are profound and far-reaching.

Mental Chronometry (MC) comprises a variety of techniques for measuring the speed with which the brain processes information.

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining.

The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer science, mathematical physics and finance.

This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view.

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

Provides a coherent and comprehensive account of the theory and practice of real-time human disease outbreak detection, explicitly recognizing the revolution in practices of infection control and public health surveillance.

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining.

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