Kategoria BISAC: Mathematics >> Probability & Statistics - General

Expert practical and theoretical coverage of runs and scans
This volume presents both theoretical and applied aspects of runs and scans, and illustrates their important role in reliability analysis through various applications from science and engineering. Runs and Scans with Applications presents new and exciting content in a systematic and cohesive way in a single comprehensive volume, complete with relevant approximations and explanations of some limit theorems.
The authors provide detailed discussions of both classical and current problems, such as:
* Sooner and later...

The major approach of this volume is using simulation as a computational aid in dealing with and creating models of reality. The main objective is to incorporate simulation as an integral part of the interaction between data and the models which may have approximately generated them. It incorporates substantial resampling procedures in order to test hypothesis and obtain a notion of the variability of the data. Features of the book include: communicates an applications-oriented approach with numerous case studies throughout to support conceptual thinking; laced with tabular results; and...

Maximum and minimum problems are of daily concern in industry and government operations. These problems are the foundation of optimisation, determining the best manner in which to organise or produce items. By optimising a procedure, costs can be significantly lowered and the waste of materials can be reduced.

A complete guide to the theory and practical applications of probability theory

An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach...

The classic text for understanding complex statistical probability

An Introduction to Probability Theory and Its Applications offers comprehensive explanations to complex statistical problems. Delving deep into densities and distributions while relating critical formulas, processes and approaches, this rigorous text provides a solid grounding in probability with practice problems throughout. Heavy on application without sacrificing theory, the discussion takes the time to explain difficult topics and how to use them. This new second edition includes new material...

A unique introduction to the innovative methodology of statistical flowgraphs
This book offers a practical, application-based approach to flowgraph models for time-to-event data. It clearly shows how this innovative new methodology can be used to analyze data from semi-Markov processes without prior knowledge of stochastic processes--opening the door to interesting applications in survival analysis and reliability as well as stochastic processes.
Unlike other books on multistate time-to-event data, this work emphasizes reliability and not just biostatistics, illustrating each...

Leslie Kish formulated, among other things, the "margin of error," an assessment of the accuracy of opinion polls. He was elected president of the American Statistical Association; and was a fellow of the American Academy of Arts and Sciences; the American Association for the Advancement of Science; and the Royal Statistical Society of England. A co-founder of the Institute for Social Research at the University of Michigan and of the International Association of Survey Statisticians, Kish was at once a remarkable teacher, thinker, and leader in the field of survey statistics. This volume...

This focused, data-driven text shows students from a wide-variety of disciplines how to use statistics as a tool for making informed decisions. It teaches students how to analyze and turn the data that surrounds them info useful, inference-based information.

Praise for the Second Edition

"Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."--The UMAP Journal

Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it...

This Set Contains:
Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson
Continuous Univariate Distributions, Volume 1, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson
Continuous Univariate Distributions, Volume 2, 2nd Edition by Samuel Kotz, N. Balakrishnan and Normal L. Johnson
Discrete Multivariate Distributions by Samuel Kotz, N. Balakrishnan and Normal L. Johnson
Univariate Discrete Distributions, 3rd Edition by Samuel...

Marketing and regulatory pressures are driving laboratories to adopt statistically valid quality control or quality assurance systems. This guide gives test engineers and laboratory technicians easily accomplished statistical techniques to meet legal requirements relating to quality control testing. Accurate techniques are presented for method development, validation, comparison of test methods and quality control for all samples. Each technique is presented in its most simple and basic form, and charts and tables make it easy for workers to enter their own data. Special attention is given to...

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into three parts. Part One is concerned with data in general and with describing groups of numbers. Part Two develops the ideas of randomness, probability, and statistical inference. Part Three moves forward, applying these ideas to more complex data structures and the analysis of relationships.

Complete coverage of the prediction approach to survey sampling in a single resource

Prediction theory has been extremely influential in survey sampling for nearly three decades, yet research findings on this model-based approach are scattered in disparate areas of the statistical literature. Finite Population Sampling and Inference: A Prediction Approach presents for the first time a unified treatment of sample design and estimation for finite populations from a prediction point of view, providing readers with access to a wealth of theoretical results, including many new results and,...

A one-stop reference to fractional factorials and related orthogonal arrays.

Presenting one of the most dynamic areas of statistical research, this book offers a systematic, rigorous, and up-to-date treatment of fractional factorial designs and related combinatorial mathematics. Leading statisticians Aloke Dey and Rahul Mukerjee consolidate vast amounts of material from the professional literature--expertly weaving fractional replication, orthogonal arrays, and optimality aspects. They develop the basic theory of fractional factorials using the calculus of factorial arrangements,...

A general purpose work on sampling method and theory. Volume 1 gives a simple, non-mathematical discussion of principles and their practical applications. Volume 2 covers theory and proofs.

A text for the non-majors introductory statistics service course. The chapters--including Web site material--can be organized for one or two semester sequences; algrebra is the mathematics prerequisite. Web site chapters on quality control, time series, plus business applications regularly throughout the work make it suitable for business statistics courses on some campuses. The text combines lucid and statistically engaging exposition, graphic and poignantly applied examples, realistic exercise settings to take student past the mechanics of introductory-level statistical techniques into the...

The importance of nonparametric methods in modern statistics has grown dramatically since their inception in the mid-1930s. Requiring few or no assumptions about the populations from which data are obtained, they have emerged as the preferred methodology among statisticians and researchers performing data analysis. Today, these highly efficient techniques are being applied to an ever-widening variety of experimental designs in the social, behavioral, biological, and physical sciences.

This long-awaited Second Edition of Myles Hollander and Douglas A. Wolfe's successful...

Originally published in 1959, this classic volume has had a major impact on generations of statisticians. Newly issued in the Wiley Classics Series, the book examines the basic theory of analysis of variance by considering several different mathematical models. Part I looks at the theory of fixed-effects models with independent observations of equal variance, while Part II begins to explore the analysis of variance in the case of other models.

Uniquely combining theory, application, and computing, this book explores the spectral approach to time series analysis

The use of periodically correlated (or cyclostationary) processes has become increasingly popular in a range of research areas such as meteorology, climate, communications, economics, and machine diagnostics. Periodically Correlated Random Sequences presents the main ideas of these processes through the use of basic definitions along with motivating, insightful, and illustrative examples. Extensive coverage of key concepts is provided, including second-order theory,...

• Shorter, more concise chapters provide flexible coverage of the subject.
• Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.
• Includes topics not covered in other books, such as the de Finetti Transform.
• Author S. James Press is the modern guru of Bayesian statistics.