Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 14.32 MB

Downloadable formats: PDF

Pages: 248

Publisher: Springer; 1st ed. 2015 edition (November 16, 2015)

ISBN: 3319235540

Spss for Windows: Tables Release 5 (Also for Use With Release 6.0)

SPSS Survival Manual: A step by step guide to data analysis using SPSS by Julie Pallant (Nov 1 2010)

*Discrete Mathematics for Computing*

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__Matrix Theory and Applications with MATLAB__

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__Using SPSS for Social Statistics and Research Methods__

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**SAS Certification Kit: Advanced Programming for SAS 9, Third Edition**

Excel 2010 for Social Science Statistics: A Guide to Solving Practical Problems

SAS/Genetics 9.1.3 User's Guide

**Linear Models and Generalizations: Least Squares and Alternatives (Springer Series in Statistics)**

__Maple By Example__

Introduction to Scientific Programming: Computational Problem Solving Using Maple and C

SAS 9.3 Intelligence Platform:: Security Administration Guide

Introduction to Scientific Programming and Simulation Using R, Second Edition (Chapman & Hall/CRC The R Series)

__Adventures in Criminal Justice Research: Data Analysis Using SPSS 15.0 and 16.0 for Windows__

Statistical Sensor Fusion

*Symmetry Theory in Molecular Physics with Mathematica: A new kind of tutorial book*

__Swarm Intelligence and Bio-Inspired Computation: 16. Artificial Plant Optimization Algorithm__

__Introduction to Statistics in Psychology: AND "Introduction to SPSS in Psychology"__

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*Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs*

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__Test Scoring and Analysis Using SAS__. The Mathematics Clinic provides applied, real-world research experience. A team of 3-5 students will work on an open-ended research problem from an industrial partner, under the guidance of a faculty advisor. Problems involve a wide array of techniques from mathematical modeling as well as from engineering and computer science. Clinic projects generally address problems of sufficient magnitude and complexity that their analysis, solution and exposition require a significant team effort ref.: The Art of R Programming A Tour of Statistical Software Design by Matloff, Norman [No Starch Press,2011] (Paperback) http://tiny-themovie.com/ebooks/the-art-of-r-programming-a-tour-of-statistical-software-design-by-matloff-norman-no-starch. The course should be of interest to anyone seeking to develop robust robot software, and anyone who is interested in real-world applications of statistical theory. Students participating in this course will acquire the skill of developing robust software for robots operating in real-world environments, and understanding the mathematical underpinnings of their software

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