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A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics

One in a series of books co-published with SAS, this book provides a user-friendly introduction to both the SAS system and elementary;

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Statistical Data Mining Using SAS Applications

complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach. Each chapter emphasizes step-by;

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Step-by-Step Basic Statistics Using SAS

Step-by-Step Basic Statistics Using SAS: Student Guide first introduces you to SAS software, then leads you through a variety of elementary;

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Multivariate Statistical Inference And Applications

is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no;

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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;

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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;

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Data Management and Analysis Using JMP

A holistic, step-by-step approach to analyzing health care data! Written for both beginner and intermediate JMP users working in or;

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Applied Statistics for Environmental Science with R

multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for;

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IBM SPSS Statistics 25 Step by Step

IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth edition, takes a straightforward, step-by-step approach that;

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Clinical Trial Data Analysis Using R and SAS

of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the;

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Clinical Trial Data Analysis Using R and SAS

analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the authors' 30;

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An Introduction to Applied Multivariate Analysis

throughout. The authors examine in detail how each multivariate technique can be implemented using SPSS and SAS and Mplus in the book's later;

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Multivariate Analysis for the Biobehavioral and Social Sciences

An insightful guide to understanding and visualizing multivariate statistics using SAS(R), STATA(R), and SPSS(R) Multivariate Analysis for;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, how-to reference for anyone performing essential;

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Using Multivariate Statistics

This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;

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Using Multivariate Statistics

This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;

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Using Multivariate Statistics

This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;

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Applied Time Series Analysis

, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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SAS Essentials

A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;

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JMP for Basic Univariate and Multivariate Statistics

of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll;

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SAS for R Users

with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step;

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Univariate Bivariate & Multivariate Stat

Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods;

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Using Multi Stat Pnie

-- A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate;

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Easy Statistics for Food Science with R

numerous step-by-step tutorials help the reader to learn quickly Covers the theory and application of the statistical techniques

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