Books in category Mathematics – Probability & Statistics

  • Multilevel Models

    Multilevel Models
    Jichuan Wang, Haiyi Xie, James F. Fisher

    This book covers a broad range of topics about multilevel modeling.

  • Additive Number Theory The Classical Bases

    Additive Number Theory The Classical Bases
    Melvyn B. Nathanson

    This book is intended for students who want to lel?Ill additive number theory, not for experts who already know it. For this reason, proofs include many "unnecessary" and "obvious" steps; this is by design.

  • Measure Integral and Probability

    Measure, Integral and Probability
    Marek Capinski, Peter E. Kopp

    For this second edition, the text has been thoroughly revised and expanded.

  • Introduction to Robust Estimation and Hypothesis Testing

    Introduction to Robust Estimation and Hypothesis Testing
    Rand R. Wilcox

    New to this edition 35% revised content Covers many new and improved R functions New techniques that deal with a wide range of situations Extensive revisions to cover the latest developments in robust regression Covers latest improvements …

  • Models for Discrete Longitudinal Data

    Models for Discrete Longitudinal Data
    Geert Molenberghs, Geert Verbeke

    This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors begin with models for the full marginal distribution of the outcome vector.

  • Data Analysis with Mplus

    Data Analysis with Mplus
    Christian Geiser

    A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts.

  • Data Points

    Data Points
    Nathan Yau

    Reveal the story your data has to tell To create effective data visualizations, you must be part statistician, part designer, and part storyteller.

  • An Elementary Introduction to Mathematical Finance

    An Elementary Introduction to Mathematical Finance
    Sheldon M. Ross

    Contains a new chapter on optimization methods in finance, a new section on Value at Risk and Conditional Value at Risk, plus much more.

  • Elements of Real Analysis

    Elements of Real Analysis
    Charles G. Denlinger

    It presents topics in ways that are most easily understood, yet does not sacrifice rigor or coverage. In using this book, students discover that real analysis is completely deducible from the axioms of the real number system.

  • The Statistical Analysis of Functional MRI Data

    The Statistical Analysis of Functional MRI Data
    Nicole Lazar

    This book represents the first in-depth discussion of statistical methodology, which it couples with an introduction to the scientific background needed to understand the data.

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