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Multiple Regression

Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a;

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Regression With Social Data

An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and;

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Spatial Regression Models for the Social Sciences

Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.;

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Statistical Regression Modeling with R

regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume;

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Statistical Regression Modeling with R

regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume;

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The Program Evaluation Prism

predictors, coding of categorical data, regression with categorical predictors, methods for entering predictors in multiple regression, and;

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Regression Analysis for the Social Sciences

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic;

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Regression Analysis for the Social Sciences

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic;

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Regression Models

censored, sample-selected, and truncated data. Regression Models begins with a discussion of the Tobit model and examines issues such as maximum;

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Correlation And Regression Analysis

It is no exaggeration to say that virtually all quantitative research in the social sciences is done with correlation and regression;

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Regression Analysis and Its Application: A Data-Oriented Approach

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Matching, Regression Discontinuity, Difference in Differences, and Beyond

how to implement the three methods with data: many data and programs are provided in the online appendix. All readers--theoretical;

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Regression Analysis and its Application

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

Leave your crystal ball behind and peer into the future with SAPPredictive Analytics. Master predictive models-regression, time series;

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Regression Analysis with Python

* Solve some of the complex data science problems related to predicting outcomes * Get to grips with various types of regression for effective;

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Linear Regression

This text introduces the fundamental linear regression models used in quantitative research. It covers both the theory and application;

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Applied Regression Analysis

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;

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Applied Regression Analysis

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;

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Data Analysis Using Regression & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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Gaussian Process Regression Analysis for Functional Data

Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis;

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Data Analysis

art of data analysis from data-gathering to multiple regression in which a dependent variable is influenced by several independent variables;

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Predictive Analytics

regression for survival data. The book also gives brief introductions to some modern computer-intensive methods such as classification and regression;

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Regression Diagnostics

of collinearity in multiple regression, dealing with outlying and influential data, non-normality of errors, non-constant error variance and the problems;

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Handbook of Regression Analysis With Applications in R

Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;

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Regression Analysis with R

techniques to solve common problems in data science - from data exploration to dealing with missing values From Simple Linear Regression to Logistic;

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R In Finance And Economics

statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with;

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