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Applied Multivariate Statistics with SAS Software

Real-world problems and data sets are the backbone of this groundbreaking book. Applied Multivariate Statistics with SASA (R) Software;

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An Introduction to Applied Multivariate Analysis

prerequisites include an introductory statistics course with exposure to regression analysis and some familiarity with SPSS and SAS.;

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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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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 Plant Science Experimental Design and Statistical Analysis Using Sas(r) Ondemand for Academics

can be overwhelming. SAS (R) is the most widely used statistical software in the world and SAS (R) OnDemand for Academics is now freely;

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Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics

can be overwhelming. SAS (R) is the most widely used statistical software in the world and SAS (R) OnDemand for Academics is now freely;

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An R Companion for Applied Statistics II

An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into;

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Essentials of Multivariate Data Analysis

explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods, this one makes straightforward;

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Essentials of Multivariate Data Analysis

explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods, this one makes straightforward;

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Applied Univariate, Bivariate, & Multivariate Stat istics

of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS;

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Multivariate Data Reduction and Discrimination with SAS Software

of output to draw meaningful conclusions. Extensive SAS codes and corresponding output are presented in combination with sample problems and clear;

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Methods of Multivariate Statistics

data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the;

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Sas Guide to Report Writing

Professional programmers at SAS have packed this book with practical examples of report-writing programs that you can adapt and apply to;

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Applied Statistics and the Sas Programming Language

is an invaluable resource for both students and applied researchers, giving them the capacity to perform statistical analyses with SAS without;

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Applied Statistics and the SAS Programming Language

programming language. Using examples from business, medicine, education, psychology, and other disciplines, Applied Statistics and the SAS;

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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 Multivariate Analysis

This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both;

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Applied Medical Statistics Using SAS

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and;

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Applied Statistics

examples in the book are accompanied with their corresponding SAS programs. The R programs are available on the following website: http;

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SAS for Linear Models

Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analysing linear models with the SAS;

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Applied Multivariate Statistics for the Social Sciences

matrix algebra serves as a review. Printouts from SPSS and SAS with annotations indicate what the numbers mean and encourage interpretation;

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Einde inhoud

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