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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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Exploring Data Tables, Trends, And Shapes

major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The;

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Robust Correlation Theory & Aplications

applications of robust correlation methods to exploratory data analysis, multivariate statistics, statistics of time series, and to real-life data;

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Hands-On Exploratory Data Analysis with R

Discover and practice graphical exploratory analysis techniques across domains Book DescriptionHands-On Exploratory Data Analysis with R will;

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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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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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Robust Methods for Data Reduction

part focuses on cluster and discriminant analysis. The authors explain how to perform sample reduction by finding groups in the data;

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Robust Methods for Data Reduction

cluster and discriminant analysis. The authors explain how to perform sample reduction by finding groups in the data. Despite considerable;

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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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Modern Methods for Business Research

theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor;

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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 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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Introductory Statistics

include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust;

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Nonparametric Function Estimation, Modeling, and Simulation

analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling;

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Statistical Computing Environments for Social Research

The nature of statistics has changed from classical notions of hypothesis testing toward graphical and exploratory data analysis that;

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Statistical Computing Environments for Social Research

The nature of statistics has changed from classical notions of hypothesis testing toward graphical and exploratory data analysis that;

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Modern Methods for Business Research

theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor;

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PySpark SQL Recipes

solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data;

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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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Hands-On Exploratory Data Analysis with Python

fundamental concepts of exploratory data analysis using Python Find missing values in your data and identify the correlation between different;

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Making Sense of Data and Statistics in Psychology

use of exploratory data analysis (EDA), the text emphasises conceptual rather than technical or procedural understanding.;

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Understanding Data

of each, the students learn to master data analysis: to be and to feel in control.;

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Robust Multivariate Analysis

by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor;

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Exploratory Data Analysis in Business and Economics

. This textbook, Exploratory Data Analysis in Business and Economics, aims to familiarise students of economics and business as well as;

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