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Exploratory Multivariate Analysis by Example Using R

"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal;

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Exploratory Examples for Real Analysis

Contains supplementary exercises and projects designed to facilitate students' understanding of the fundamental concepts in real analysis;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Exploratory Data Analysis in Empirical Research

ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining;

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Exploratory Factor Analysis

A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory;

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Hands-On Exploratory Data Analysis with R

is forHands-On Exploratory Data Analysis with R is for data enthusiasts who want to build a strong foundation for data analysis. If you are a data;

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Applied Multivariate Analysis

theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter;

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Nonparametric Function Estimation, Modeling, and Simulation

Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory;

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Introductory Statistics

with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real--life problems drawn from the;

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Spatial Analysis Methods and Practice

, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data;

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Spatial Analysis Methods and Practice

, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open;

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Exploratory Social Network Analysis With Pajek

analysis (Pajek). Pajek software and datasets for all examples are freely available, so the reader can learn network analysis by doing it;

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Reading and Understanding Multivariate Statistics

presented with minimal use of formulas and a generous use of real-world research examples. Each chapter also includes suggestions for additional;

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Sequential Methods and Their Applications

diverse applications, each chapter provides valuable approaches for performing statistical experiments and facilitating real data analysis;

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Confirmatory Factor Analysi For Aplie Re

the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology;

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Exploratory Data Analysis with MATLAB

. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications;

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Exploratory Data Analysis With Matlab

models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples;

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Making Sense of Data I

a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining;

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Applied Statistics

may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis;

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Applied Statistics

may be used on a number of computer ranges, either interactively for exploratory data analysis, or in batch mode for standard data analysis;

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Developing Econometrics

that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It;

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Understanding Robust And Exploratory Data Analysis

some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use;

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Analysis Of Longitudinal Data

and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data;

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Mixed-Effects Models in S and S-PLUS

, developed by the authors, provides the underlying software for implementing the methods presented. This balanced mix of real data examples, modeling;

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Mixed-Effects Models in S and S-PLUS

, developed by the authors, provides the underlying software for implementing the methods presented. This balanced mix of real data examples, modeling;

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