Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 12.53 MB

Downloadable formats: PDF

Pages: 0

Publisher: Prentice Hall; Pck edition (January 10, 1996)

ISBN: 0134850467

**Table-Driven Strategies for Rapid SAS Applications Development**

__Sampling Methods: Exercises and Solutions__

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**Finite Mixture and Markov Switching Models (Springer Series in Statistics)**. If you somehow know the actual population mean μ you should pass it to the pvariance() function as the mu parameter to get the variance of a sample Solving Differential Equations with Maple V: Release 4 (Brooks / Cole Symbolic Computation Series). Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text. This book imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well- grounded foundation through motivating chapters on linear and generalized linear models

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Mathematical Computer Performance and Reliability

*Discovering Statistics Using SAS*

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**Privacy in Statistical Databases: UNESCO Chair in Data Privacy International Conference, PSD 2008, Istanbul, Turkey, September 24-26, 2008, ... Applications, incl. Internet/Web, and HCI)**

*SPSS for Windows Step by Step: A Simple Guide and Reference 15.0 Update*

*MATLAB for Engineers Explained*

__ODS Techniques: Tips for Enhancing Your SAS Output__

Data Analysis Using Stata

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**Learning Predictive Analytics with Python**

__Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS__

**Optical Scanning Holography with MATLAB®**

*Bayesian Modeling Using WinBUGS (Wiley Series in Computational Statistics) 1st (first) Edition by Ntzoufras, Ioannis published by Wiley (2009)*

*Business Statistics Made Easy in SAS*

**Excel 2010 Study Card, Business Statistics**

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**An Introductory Guide to SPSS® for Windows®**

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