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Showing 1 - 12 of 12 results for “xin tian”
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  • Nonparametric Models for Longitudinal Data

    With Implementation in R

    by Colin O. Wu, Xin Tian ...
    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, ... Read more

    $84.99 USD

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  • Causal Inference in Statistics

    A Primer

    by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell ...
    CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written ... Read more

    $42.00 USD

  • Methods of Multivariate Analysis

    by Alvin C. Rencher, William F. Christensen ...
    Series Book 709 - Wiley Series in Probability and Statistics
    Praise for the Second Edition"This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."-IIE TransactionsFilled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data ... Read more

    $122.00 USD

  • Causal Analysis

    Impact Evaluation and Causal Machine Learning with Applications in R

    by Martin Huber ...
    A comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning.Reasoning about cause and effect—the consequence of doing one thing versus another—is an integral part of our lives as human beings. In an increasingly digital and data-driven economy, the importance of sophisticated causal analysis only deepens. Presenting the most ... Read more

    $41.99 USD

  • Cause and Correlation in Biology

    A User's Guide to Path Analysis, Structural Equations and Causal Inference with R

    by Bill Shipley ...
    Many problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses when randomised experiments cannot be performed. This completely revised and updated edition features detailed explanations for carrying out ... Read more

    $60.69 USD

  • Categorical Data Analysis

    by Alan Agresti ...
    Series series Wiley Series in Probability and Statistics
    Praise for the Second Edition"A must-have book for anyone expecting to do research and/or applications in categorical data analysis."—Statistics in Medicine"It is a total delight reading this book."—Pharmaceutical Research"If you do any analysis of categorical data, this is an essential desktop reference."—TechnometricsThe use of statistical methods for analyzing categorical data has increased ... ... Read more

    $138.00 USD

  • Nonparametric Econometrics

    Theory and Practice

    by Qi Li, Jeffrey Scott Racine ...
    A comprehensive, up-to-date textbook on nonparametric methods for students and researchersUntil now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal articles to keep pace with these emerging methods of economic analysis. Nonparametric Econometrics fills a major gap by gathering together the most up-to-date theory and ... Read more

    $79.19 USD

  • Latent Variable Models and Factor Analysis

    A Unified Approach

    by David J. Bartholomew, Martin Knott, Irini Moustaki ...
    Series Book 904 - Wiley Series in Probability and Statistics
    Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for ... Read more

    $79.00 USD

  • Experimental Design

    Procedures for the Behavioral Sciences

    by Roger E. Kirk ...
    This classic text, with a reputuation for accessibility and readability, has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface ... Read more

    $141.29 USD

  • 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

  • Statistical Learning for Biomedical Data

    by James D. Malley, Karen G. Malley, Sinisa Pajevic ...
    Series series Practical Guides to Biostatistics and Epidemiology
    This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines ... Read more

    $46.79 USD

  • Modelling Under Risk and Uncertainty

    An Introduction to Statistical, Phenomenological and Computational Methods

    by Etienne de Rocquigny ...
    Series Book 980 - Wiley Series in Probability and Statistics
    Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated:How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much ... Read more

    $99.00 USD