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  • Regression Analysis in R

    A Comprehensive View for the Social Sciences

    Series series Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
    Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated ... Read more

    $94.99 USD

  • Multilevel Modeling Using R

    Series series Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
    Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment.After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data ... Read more

    $82.99 USD

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  • Applied Longitudinal Data Analysis for Epidemiology

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    This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the ... Read more

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  • Data Mining and Statistics for Decision Making

    Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover ... Read more

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  • Data Analysis Using SAS Enterprise Guide

    This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of ... Read more

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  • Multilevel Modeling in Plain Language

    Have you been told you need to do multilevel modeling, but you can′t get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense?Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance ... Read more

    $52.19 USD

  • Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance

    Series series International Series on Actuarial Science
    Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long ... Read more

    $101.69 USD

  • Understanding Statistics in the Behavioral Sciences

    Understanding Statistics in the Behavioral Sciences is designed to help readers understand research reports, analyze data, and familiarize themselves with the conceptual underpinnings of statistical analyses used in behavioral science literature. The authors review statistics in a way that is intended to reduce anxiety for students who feel intimidated by statistics. Conceptual underpinnings and ... Read more

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  • Latent Variable Modeling Using R

    A Step-by-Step Guide

    This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples ... Read more

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  • Feature Engineering and Selection

    A Practical Approach for Predictive Models

    Series 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 ... Read more

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  • Statistical Methods for Organizational Research

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    This clearly written textbook clarifies the concepts underpinning descriptive and inferential statistics in organizational research. Acting as much more than a theoretical reference tool, step-by-step it guides readers through the various key stages of successful data analysis.Covering everything from introductory descriptive statistics to advanced ... Read more

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  • Data Analysis with IBM SPSS Statistics

    Implementing data modeling, descriptive statistics and ANOVA

    Master data management & analysis techniques with IBM SPSS Statistics 24Key Features\[\*\]Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data\[\*\]Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease\[\*\]Overcome any hurdle that you might come across while learning the different ... Read more

    $49.49 USD or Free with Kobo Plus