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  • 求真之路:心学如何改变世界: The Path to Truth

    How Oriental Philosophy Can Change the World

    de Tian Xin, 天心 ...
    本书主要面向有以下几类情况的人:一、欲求智慧与真理而不得其门路,面对纷杂的世间理论和宗教感到迷惑。二、有智慧,却在世俗中找不到用武之地。三、困苦迷茫,迫切寻求人生真谛。四、想使社会和文明进步,但尚未领悟要领。五、有宗教信仰,但在修行中有诸多困惑。六、进行心灵与其现象相关研究的学者和科学工作者。今天这个时代,邪见盛行,人心迷乱。很多人虽然有心求真,却无缘得道。特别是对于有志让自己和世界变得更好的人来说,鲜有知见通达者。现今世界,不缺观点输出,可是根本问题在人心而不在思想。再好的思想、学问如果背后的驱动是我执,也不会对世人有好处。文明和人的心性是紧密相连的,人们有什么样的心性,就会创造出什么样的社会。对于一个稍微有些智慧的人来说,看透这个世界的虚伪并不难,难的是如何改变一个充斥着暴力、谎言、堕落、邪知邪见的世界。我们希望它能走向一个心灵相通、心智... ... Leer más

    $7.99 USD

  • Nonparametric Models for Longitudinal Data

    With Implementation in R

    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, ... Leer más

    $84.99 USD

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  • Causal Inference in Statistics

    A Primer

    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 ... Leer más

    $42.00 USD

  • Methods of Multivariate Analysis

    Series Libro 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 ... Leer más

    $122.00 USD

  • Causal Analysis

    Impact Evaluation and Causal Machine Learning with Applications in R

    de 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 ... Leer más

    $41.99 USD

  • Cause and Correlation in Biology

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

    de 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 ... Leer más

    $60.99 USD

  • Categorical Data Analysis

    de 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 ... ... Leer más

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  • Nonparametric Econometrics

    Theory and Practice

    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 ... Leer más

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  • Latent Variable Models and Factor Analysis

    A Unified Approach

    Series Libro 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 ... Leer más

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  • Experimental Design

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    de 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 ... Leer más

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  • Foundations of Linear and Generalized Linear Models

    de 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 ... Leer más

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  • Statistical Learning for Biomedical Data

    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 ... Leer más

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