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Fundamentals of Exploratory Analysis of Variance

This text approaches the analysis of variance (ANOVA) from an exploratory point of view while retaining customary least squares fitting;

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Service Quality Perceptions of Customers about Insurance Companies

in Indian context. Exploratory factor analysis was used. As a result five factors were extracted using the methods of principal component analysis;

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Statistical Methods for Engineers and Scientists

emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern;

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Statistical Methods for Engineers and Scientists

emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern;

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A Handbook for Data Analysis in the Behaviorial Sciences: Volume 1: Methodological Issues Volume 2: Statistical Issues

, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The;

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A Handbook for Data Analysis in the Behaviorial Sciences: Volume 1: Methodological Issues Volume 2

, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The;

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Multivariate Analysis of Variance

Analysis of variance (ANOVA) is one of the most frequently employed statistical techniques in the social sciences because it provides a;

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The Analysis of Variance

Classics Series, the book examines the basic theory of analysis of variance by considering several different mathematical models. Part I looks at;

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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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Reading and Understanding Multivariate Statistics

and correlation, path analysis, principal-components analysis, exploratory and confirmatory factor analysis, multidimensional scaling;

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Advances in Social Science Methodology

parametric solutions to the Behrens-Fisher problem. Part two focuses on diverse aspects of factor analysis including an exploration of contemporary;

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Analysis of Variance and Covariance

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between;

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Analysis Of Variance & Covariance

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between;

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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

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your;

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Exploratory Data Analysis in Empirical Research

This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous;

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Advanced Linear Models

model, the analysis of variance model, the analysis of covariance model, and the variance components model.;

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Analysis of Variance Designs

ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other;

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Listed Volatility & Variance Derivatives

data and financial analysis, and reproduce stylised facts on volatility and variance markets * Gain an understanding of the fundamental;

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Experimental Design and the Analysis of Variance

Why is this Book a Useful Supplement for Your Statistics Course? Most core statistics texts cover subjects like analysis of variance;

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Analysis of Variance for Sensory Data

Analysis of Variance (ANOVA) is a statistical technique used in a number of chemical areas including the food industry. This handbook is a;

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Variance Components

. -Technometrics This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style;

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Statistical Tests for Mixed Linear Models

treatment for these models at an advanced level. Statistical Tests for Mixed Linear Models:* Combines analysis and testing in one self-contained;

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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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Digital Spectral Analysis

Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work;

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Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

and 9780471370383 Applied Statistics: Analysis of Variance and Regression, Third Edition by Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark.;

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