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  • Robust Small Area Estimation

    Methods, Theory, Applications, and Open Problems

    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    In recent years there has been substantial and growing interest in small area estimation (SAE) that is largely driven by practical demands. Here, the term "small area" typically refers to a subpopulation or domain of interest for which a reliable direct estimate, based only on the domain-specific sample, cannot be produced due to small sample size in the domain.Keywords in SAE are “borrowing ... Read more

    $73.99 USD

  • Large Sample Techniques for Statistics

    by Jiming Jiang ...
    Series series Mathematics and Statistics (R0)
    This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects theory and applications in engaging ways.The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, ... Read more

    $71.99 USD

  • Linear and Generalized Linear Mixed Models and Their Applications

    Series series Mathematics and Statistics (R0)
    Now in its second edition, this book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest ... Read more

    $116.99 USD

  • Robust Mixed Model Analysis

    by Jiming Jiang ...
    Mixed-effects models have found broad applications in various fields. As a result, the interest in learning and using these models is rapidly growing. On the other hand, some of these models, such as the linear mixed models and generalized linear mixed models, are highly parametric, involving distributional assumptions that may not be satisfied in real-life problems. Therefore, it is important, ... Read more

    $70.19 USD

  • Asymptotic Analysis of Mixed Effects Models

    Theory, Applications, and Open Problems

    by Jiming Jiang ...
    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models.The ... Read more

    $67.99 USD

  • Fence Methods, The

    This book is about a recently developed class of strategies, known as the fence methods, which fits particularly well in non-conventional and complex model selection problems with practical considerations. The idea involves a procedure to isolate a subgroup of what are known as correct models, of which the optimal model is a member. This is accomplished by constructing a statistical fence, or ... Read more

    $34.99 USD

  • Plant Centromere Biology

    Plant Centromere Biology is dedicated to plant centromere research. Chapters cover the structure of centromeres from several plant species including Arabidopsis thaliana, rice, maize, wheat and beet, while other sections cover several unique characteristics associated with plant centromeres, including classical and modern neocentromeres, centromere drive and centromere misdivision. Additional ... Read more

    $197.00 USD

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  • Foundations of Linear and Generalized Linear Models

    by Alan Agresti ...
    Series series Wiley Series in Probability and Statistics
    A valuable overview of the most important ideas and results in statistical modelingWritten by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the ... Read more

    $115.00 USD

  • New Handbook of Mathematical Psychology: Volume 1, Foundations and Methodology

    Series series Cambridge Handbooks in Psychology
    The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics, motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, ... Read more

    $63.99 USD

  • Advances on Theoretical and Methodological Aspects of Probability and Statistics

    Edited by N. Balakrishnan ...
    At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and ... Read more

    $67.99 USD

  • Principles of Statistical Inference

    by D. R. Cox ...
    In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much ... Read more

    $49.19 USD

  • A Course in Mathematical Statistics and Large Sample Theory

    Series series Mathematics and Statistics (R0)
    This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous presentation of the core of mathematical statistics.Part I of this book constitutes a one-semester course ... Read more

    $107.09 USD