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  • Atone

    Religion, Conflict, and Reconciliation

    Collections series Conflict and Security in the Developing World
    The relationship between religion and conflict has generated considerable academic and political debate. Although the majority of religions and spiritual traditions are replete with wisdom that propagates a broader unity among human beings, these same examples have been used to legitimize hatred and fear. While some studies claim that religion facilitates peacebuilding, reconciliation, and healing ... En savoir plus

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  • Understanding Statistics and Experimental Design

    How to Not Lie with Statistics

    Collections series Biomedical and Life Sciences (R0)
    This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of ... En savoir plus

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  • Statistics for Healthcare Professionals

    An Introduction

    This book introduces you to the basic rules and principles of statistics and shows you how straightforward statistical tests can be performed and analysed in relation to healthcare.Key features of the text are:-Examples which show how statistics are used in the real world-Exercises to test your understanding and develop your proficiency-A glossary to remind you of key terms.-Add... ... En savoir plus

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  • Methods of Multivariate Analysis

    Collections Livre 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 ... En savoir plus

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  • Applying Regression and Correlation

    A Guide for Students and Researchers

    This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then ... En savoir plus

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  • Applied Survival Analysis

    Regression Modeling of Time-to-Event Data

    Collections Livre 618 - Wiley Series in Probability and Statistics
    THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITIONSince publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal ... En savoir plus

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  • Experimental Design and Statistics

    par Steve Miller ...
    Collections series New Essential Psychology
    The distinguishing feature of experimental psychology is not so much the nature of its theories as the methods used to test their validity. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical techniques which support them. For this new edition the text has been revised, the coverage of two-sample tests has been ... En savoir plus

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  • Cause and Correlation in Biology

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

    par 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 ... En savoir plus

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  • Latent Variable Models and Factor Analysis

    A Unified Approach

    Collections Livre 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 ... En savoir plus

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  • ANOVA and ANCOVA

    A GLM Approach

    Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspectiveANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional ... En savoir plus

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  • Feature Engineering and Selection

    A Practical Approach for Predictive Models

    Collections series Chapman & Hall/CRC Data Science Series
    The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate ... En savoir plus

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  • Statistical Learning for Biomedical Data

    Collections 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 ... En savoir plus

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