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Applied Multivariate Statistical Analysis (6th Edition)
Applied Multivariate Statistical Analysis (6th Edition)

  This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts...

Advanced Computer-Assisted Techniques in Drug Discovery (Methods and Principles in Medicinal Chemistry)
Advanced Computer-Assisted Techniques in Drug Discovery (Methods and Principles in Medicinal Chemistry)
The main objective of this series is to offer a practice-oriented survey of techniques currently used in Medicinal Chemistry. Following the volumes on Hansch analysis and related approaches (Vol. 1) and multivariate analyses (Vol. 2), the present handbook focuses on some new, emerging techniques in drug discovery; emphasis is...
SAS for Forecasting Time Series, Second Edition
SAS for Forecasting Time Series, Second Edition
In this second edition of the indispensable SAS for Forecasting Time Series, Brocklebank and Dickey show you how SAS performs univariate and multivariate time series analysis. Taking a tutorial approach, the authors focus on the procedures that most effectively bring results: the advanced procedures ARIMA, SPECTRA, STATESPACE, and VARMAX....
Using R for Data Management, Statistical Analysis, and Graphics
Using R for Data Management, Statistical Analysis, and Graphics

Quick and Easy Access to Key Elements of Documentation
Includes worked examples across a wide variety of applications, tasks, and graphics

Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to...

Success Metrics: A Multidimensional Framework for Measuring Organizational Success
Success Metrics: A Multidimensional Framework for Measuring Organizational Success
Learn how to measure success at the individual and organizational levels. By measuring success in multiple dimensions using multivariate methods you will be able to determine what works and what doesn’t. The key is to measure and promote progress in terms of organizational vision, mission, and overarching goals.

Business
...
High-Dimensional Covariance Estimation: With High-Dimensional Data
High-Dimensional Covariance Estimation: With High-Dimensional Data

Methods for estimating sparse and large covariance matrices

Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences....

Linear Mixed-Effects Models Using R: A Step-by-Step Approach
Linear Mixed-Effects Models Using R: A Step-by-Step Approach
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data include clustered observations, repeated measurements, longitudinal measurements, multivariate observations, etc.

The aim of our book is to help readers in fitting LMMs using R
...
Performing Data Analysis Using IBM SPSS
Performing Data Analysis Using IBM SPSS

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®
 

Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming,...

Better Business Decisions from Data: Statistical Analysis for Professional Success
Better Business Decisions from Data: Statistical Analysis for Professional Success

Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you’re a trained statistician, it can be bewildering. What are the numbers really saying or not saying? Better Business Decisions from Data:...

JMP for Basic Univariate and Multivariate Statistics: A Step-by-step Guide
JMP for Basic Univariate and Multivariate Statistics: A Step-by-step Guide
Doing statistics in JMP has never been easier! Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide. Clearly written instructions guide you through the basic concepts of research and...
Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)
Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)

Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data...

JMP Start Statistics: A Guide to Statistics and Data Analysis Using Jmp, Fourth Edition (Sas Press Series)
JMP Start Statistics: A Guide to Statistics and Data Analysis Using Jmp, Fourth Edition (Sas Press Series)
JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fourth Edition, is a complete and orderly introduction to analyzing data using JMP statistical discovery software from SAS. A mix of software manual and statistics text, this book provides hands-on tutorials with just the right amount of conceptual and motivational material to...
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