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Böcker i Wiley Series in Probability and Statistics-serien

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  • - Modeling Continuous and Limited Response Variables
    av Alfred (Bowling Green State University DeMaris
    2 257

    An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners.

  • av Narayanaswamy (McMaster University Balakrishnan
    2 387

    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.

  • - A Modeler's Approach
    av James R. (Rice University Thompson
    2 181

    This text uses simulation as a computational aid in dealing with and creating models of reality. Its main objective is to incorporate simulation as an integral part of the interaction between data and the models which may have approximately generated them.

  • av Chris J. Lloyd
    2 697

    In this volume, influential statistician Christopher Lloyd presents a comprehensive, self-contained discussion of the special statistical methods used to analyse and report count data, also known as categorical data. The emphasis here is on modern methods, with some attention paid to traditional methods as well.

  • av Aloke (Indian Statistical Institute Dey
    2 371

    Fractional factorial plans are of immense practical utility in many fields of investigation (particularly in experimental design, quality control, and quality improvment), and research in this area is progressing at a vigorous pace with an already voluminous and growing amount of research papers published.

  • - Solutions Manual
    av Douglas A. Wolfe & Myles Hollander
    771 - 1 587

    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.

  • - Spectral Theory and Practice
    av Harry L. (University of North Carolina at Chapel Hill Hurd
    1 927

    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.

  • av Steven E. (Southern Illinois University) Rigdon
    2 171

    A unique, practical guide for industry professionals who need to improve product quality and reliability in repairable systems Owing to its vital role in product quality, reliability has been intensely studied in recent decades. Most of this research, however, addresses systems that are nonrepairable and therefore discarded upon failure.

  • av James R. (Noah Harding Professor of Statistics Thompson
    2 307

    Considers neoclassical models in light of results that can go wrong with them to bring about better models. This work offers an examination of the LTCM collapse.

  • av Robert F. (University of Iowa College of Public Health Woolson
    2 457

    Includes a chapter on multiple linear regression in biomedical research, with sections containing the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.

  • av Mohsen (Northern Illinois University) Pourahmadi
    2 411

    This text provides a mathematical foundation for prediction theory and time series analysis using the geometry of Hilbert spaces. Emphasis is on foundation and structure, supported by theory, application and exercises to provide reinforcement and to extend discussions.

  • av U. Narayan (Southern Methodist University) Bhat
    2 371

    This third edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organizing it into a more teachable format. With more in-depth coverage of Markov chains and simple Markov process, the authors provide added emphasis to statistical inference in stochastic processes.

  • av Carl J. (University of Georgia) Huberty
    2 011

    This is a revision of the classic book Applied Discriminant Analysis by Carl Huberty. Dr. Huberty has taken on a co-author, Steve Olejnik, who helped to update existing material and write new chapters. New terms, updated discussion of topics that have recently become more important, new computer applications, and new references have been included.

  • - Methods and Applications
    av Vic (Nottingham Trent University Barnett
    1 597

    Environmental Statistics provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. * Provides broad coverage of the methodology used in the statistical investigation of environmental issues.

  • av Alfred (University of Karlsruhe Muller
    2 071

    This work covers stochastic order relations, which provide insight into the behaviour of complex stochastic (random) systems and enables the user to collect comparative data. Application areas include queuing systems, actuarial and financial risk, decision making, and stochastic simulation.

  • - An Object-Oriented Environment for Statistical Computing and Dynamic Graphics
    av Luke (University of Minnesota Tierney
    2 527

    A system for statistical computing and dynamic graphics based on the LISP language is described in this book, which shows how to use the system for statistical calculations and graphs. No prior knowledge of LISP is assumed, and examples are included.

  • av R Lepage
    2 927

    Explores the application of bootstrap to problems that place unusual demands on the method. The bootstrap method, introduced by Bradley Efron in 1973, is a nonparametric technique for inferring the distribution of a statistic derived from a sample.

  • av Nicolas (Ecole Nationale des Ponts et Chaussees) Bouleau
    2 927

    This study deals with the calculations of mathematical expectations, primarily by simulation methods. The authors explore the present state of research and signal the types of problems raised by new methods. Topics discussed include Monte Carlo methods and the simulation of stochastic processes.

  • av Wayne A. (Iowa State University) Fuller
    2 411

    This second edition covers new developments in the analysis of statistical time series since the 1st edition was published in 1976. There is a considerable expansion of material, including added discussion of central limit theorems, estimation and generalized least squares.

  • - Examples and Methods for p-Value Adjustment
    av Peter H. (Texas Tech University Westfall
    2 697

    Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications.

  • av Priscilla E. (University of British Columbia Greenwood
    2 641

    The first step-by-step guide to conducting successful Chi-squared tests Chi-squared testing is one of the most commonly applied statistical techniques. It provides reliable answers for researchers in a wide range of fields, including engineering, manufacturing, finance, agriculture, and medicine.

  • av A. K. Md. Ehsanes (Carleton University Saleh
    2 311

    Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied statistical inference.

  • av David (Oregon State University) Birkes
    2 771

    Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ". an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models. highly recommend[ed].

  • - Theory and Applications
    av Alexander T. (The University of Winnipeg Basilevsky
    2 001

    The purpose of this work is to provide a unified treatment of both the theory and practice of factor analysis and latent variables models.

  • av Paul (Columbia University Glasserman
    2 781

    Developing new mathematical tools to study discrete event systems has been a major focus in the fields of systems theory and operations research. This study discusses the two lines of investigation in DES research that have emerged: logical/qualitative issues and temporal/quantitative analysis.

  • av Christopher G. (University of Waterloo Small
    3 297

    Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.

  • av Alan (DePaul University Pankratz
    3 327

    This study presents the concepts and practice of interpreting single equation dynamic regression models. Emphasis is placed on possible dynamic patterns, such as distributed lag responses of the output series to the input series and the auto-correlation patterns of the regression disturbance.

  • av Barbara (Illinois Institute of Technology) Heller
    3 021

    Introduces the basic principles and ideas of MACSYMA, a computer programming system designed to perform mathematical computations and manipulations in symbolic as well as numerical form.

  • av Feifang (University of Virginia) Hu
    1 857

    In this well written book, the authors treat the fundamental question of response-adaptive randomization as dealing with the trade-off between minimizing the expected number of treatment failures and maximizing the power of inferential tests.

  • av Seymour Geisser
    1 757

    A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference.

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