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Elementary Statistics Using JMP
Elementary Statistics Using JMP
Learn how to perform basic statistical analyses using the powerful JMP software. This reader-friendly guide bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues...
SAS/STAT 9.22 User's Guide:: The PHREG Procedure (Book Excerpt)
SAS/STAT 9.22 User's Guide:: The PHREG Procedure (Book Excerpt)

The PHREG procedure performs regression analysis of survival data based on the Cox proportional hazards model and its extensions.

The analysis of survival data requires special techniques because the data are almost always incomplete and familiar parametric assumptions might be unjustifiable. Investigators follow subjects until...

Common Statistical Methods for Clinical Research with SAS Examples, Third Edition
Common Statistical Methods for Clinical Research with SAS Examples, Third Edition

Aristotle, one of mankind’s greatest thinkers, rooted his basis of human understanding in the notion that universal phenomena can be explained through perception and rationalization. As such, Aristotle conjectured that a 10-pound object should fall through the air 10 times faster than a similar 1-pound object. This, and other intuitive...

SAS/QC 9.1 User's Guide (3-Volume Set)
SAS/QC 9.1 User's Guide (3-Volume Set)

SAS/QC now includes the ANOM procedure for analysis of means, a graphical and statistical method for comparing a set of means to determine whether any of them are significantly different from the overall mean. There are also a number of enhancements to the existing CAPABILITY, OPTEX, RELIABILITY, and SHEWHART procedures.

The ADX...

Introduction to Design of Experiments with JMP Examples, Third Edition (SAS Press)
Introduction to Design of Experiments with JMP Examples, Third Edition (SAS Press)
"For anyone wanting to learn about design of experiments, this book has it all. This book combines easy-to-read concepts and methods of design of experiments (DOE) with everyday examples and pictures. Anyone with even a cursory understanding of DOE can pick up this book and gain a very high-level understanding of DOE. The bottom line: This is...
Fixed Effects Regression Methods for Longitudinal Data Using SAS
Fixed Effects Regression Methods for Longitudinal Data Using SAS
Every empirical researcher knows that randomized experiments have major advantages over observational studies in making causal inferences. Randomization of subjects to different treatment conditions ensures that the treatment groups, on average, are identical with respect to all possible characteristics of the subjects, regardless of whether those...
Performance Management: Finding the Missing Pieces (to Close the Intelligence Gap) (SAS Institute Inc.)
Performance Management: Finding the Missing Pieces (to Close the Intelligence Gap) (SAS Institute Inc.)
Praise for Performance Management

" We are witnessing a convergence among advanced management concepts and practices. Performance management is a means to pull it all together, to understand the strengths and limitations of each management practice and leverage it for competitive advantage. Cokins’ book walks us through all this in...

Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)
Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)
Adaptive design has become an important tool in modern pharmaceutical research and development. Compared to a classic trial design with static features, an adaptive design allows for the modification of the characteristics of ongoing trials based on cumulative information. Adaptive designs increase the probability of success, reduce costs...
Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.  

This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited...
Using JMP 12
Using JMP 12

Using JMP 12 shows you how to perform common tasks such as importing data, setting column properties, exporting analyses as graphics or HTML, and modifying JMP preferences. Details about connecting to SAS and working in the Formula Editor are also provided.

...
3D Game Engine Architecture: Engineering Real-Time Applications with Wild Magic
3D Game Engine Architecture: Engineering Real-Time Applications with Wild Magic
Dave Eberly's 3D Game Engine Design was the first professional guide to the essential concepts and algorithms of real-time 3D engines and quickly became a classic of game development. Dave's new book 3D Game Engine Architecture continues the tradition with a comprehensive look at the software engineering and...
Statistical Methods for Health Sciences, Second Edition
Statistical Methods for Health Sciences, Second Edition
…although the book is apparently intended for non-statisticians, it covers material well beyond an introductory course.
Biometrics, Vol. 56, No. 2, June 2000

Building upon material presented in the first edition, Statistical Methods for Health Sciences, Second Edition continues to address the analytical issues...
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