The Number Crunchers' Web Center

HomeNewsletter | ConsultingForum | Advertising | Contact Us
logo
  Software
  - Data Mining, Statistics
  - Math/Optimization
  - Business Software
  Resources
  - Journals
  - Web Sites
  - Associations
  Discussion
  - General
  - Statistics
  - Operations Research
computer work

Copyright © 2001-2008
[NC Webcenter]

Website designed by
Dan's Web Design


 
Free eBooks and Courses

Dr. Arsham's Online Statistcal Coursesnew
This course includes several sections: Business Statistics, Topics in Statistical Data Analysis, Computers and Computational Statistics, Questionnaire Design and Surveys Sampling, Probabilistic Modeling, Time Series Analysis and Business Forecasting, and Excel For Statistical Data Analysis.

Adaptive Control Systems in Marketing
by John D. C. Little
Companies try to conduct their marketing operations so as to respond to changing market conditions. A model of such a process is studied for the case of setting promotion rate. Company sales are functions of promotional spending, but the relation changes with time. An adaptive system is devised that works as follows: Information about sales response is collected by performing an experiment. The experimental results are used to update a sales response model. Promotion rate is chosen to maximize expected profit in the next time period.

Introduction to Probability
Published by American Mathematical Society. Download Here.

Image Processing in C  All the source code for image processing algorithms mentioned in the book are also available.  Download the book here.

Image Processing and Data Analysis: The Multiscale Approach

Astronomical Image and Data Analysis

Six Sigma for Quality and Productivity Promotion by Sung H. Park, published by the Asian Productivity Organization, 2003. 

Free download - Six Sigma eBooks in PDF Format
This Six Sigma Confidence Intervals eBook is free download for everyone who registers. You will learn about Six Sigma Methodology, confidence intervals and other Six Sigma concepts.

Stat-Free Six Sigma E-book
Stat Free Six Sigma has been written to ease implantation of Six Sigma by minimizing statistics, and to achieve great results through innovative application. Unique features of the book include: No cumbersome statistics, hypothesis testing, and statistics tables, Stat Free DMAIC Tool Matrix, Key Executive Tools.The table of contents includes: Introduction, Six Sigma Background, Understanding Six Sigma, Stat Free Six Sigma Tools, Define Tools, Measure Tools, Analyze Tools, Improve Tools, Control Tools, Stat Free Six Sigma Measurements, Six Sigma and Innovation, Making Six Sigma Work.

Introduction to Fuzzy Logic using MATLAB - by S. N. Sivanandam et al. This book gives a broad, in-depth overview of the field of fuzzy logic. The basic principles of fuzzy logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the fuzzy logic research projects. Examples of the applications of fuzzy logic are also given to make the readers understand the concept of fuzzy logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic Toolbox is provided for easy reference.

Introduction To Operations Research Techniques - by Daellenbach, et al

Methods And Models Of Operations Research
- by Kaufmann, Arnold

Notes On Operation Research - by Operations Research Center, MIT

Operations Research In Research And Development - by Dean, Burton V

Notes on Discrete Mathematics - by Miguel A. Lerma, Department of Mathematics, Northwestern University Publication Date : 2005
These notes are intended to be a summary of the main ideas in course CS 310: Mathematical Foundations of Computer Science which covers fundamental concepts and tools in discreet mathematics with emphasis on their applications to computer science. Topics include logic and Boolean circuits; sets, functions, relations, databases, and finite automata: deterministic algorithms, randomized algorithms, and analysis techniques based on counting methods and recurrence equations; trees and more general graphs.

Learning Goals:
At the end of the course, the student should be able to formulate logic expressions for a variety of applications; convert a logic expression into a Boolean circuit, and vice versa; design relational databases; design finite automata to recognize string patterns; apply, adapt, and design elementary deterministic and randomized algorithms to solve computational problems; analyze the running time of non-recursive algorithms with loops by means of counting; analyze the running time of divide-and-conquer recursive algorithms by means of recurrence equations; and use trees and graphs to formulate computational problems.

Handbook of Operations Research in Natural Resources
This will be the first systematic handbook treatment of quantitative modeling natural resource problems, their allocated efficient use, and societal and economic impact. Andrés Weintraub is the very top person in Natural Resource research. Moreover, he has an international reputation in OR and a former president of the International Federation of Operational Research Societies (IFORS). He has selected co-editors who are at the top of the sub-fields in natural resources: agriculture, fisheries, forestry, and mining. The book will cover these areas in terms with contributions from researchers on modeling natural research problems, quantifying data, developing algorithms, and discussing the benefits of research implementations. The handbook will include tutorial contributions when necessary. Throughout the book, technological advances and algorithmic developments that have been driven by natural resource problems will be called out and discussed.

Theory and Practice of Uncertain Programming
Real-life decisions are usually made in the state of uncertainty (randomness, fuzziness, roughness, etc.). How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem, inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

This book provides a self-contained, comprehensive and up to date presentation of uncertain programming theory.

Ad Hoc Inference with Nonexperimental Data - by Edward E. Leamer (Chauncey J. Medberry Chair in Management / Professor in Economics & Statistics, Director, UCLA Anderson Forecast)

Quantitative International Economics -  by Edward E. Leamer and Robert M. Stern

Sources of International Comparative Advantage -Theory and Evidence
- by Edward E. Leamer

Introduction to Statistics - Open and Free (Excel Version & Minitab Version) Jan - Aug 08 
An online course comparable to the full semester course on Statistics taught at Carnegie Mellon University. Your access includes the complete online course including all expository text, simulations, case studies, comprehension tests, interactive learning exercises and StatTutor. The course covers the topics of Exploratory Data Analysis, Producing Data and Study Design, Probability and Satistical Inference. This version of the course uses Microsoft Excel as the statistical package for some activities in the course. You will need to have your own copy of MS-Excel or Minitab to do some of the activities.  

Electronic Statistics Textbook by Statsoft, Inc. The only Internet Resource about Statistics Recommended by Encyclopedia Britannica!

Statnotes: Topics in Multivariate Analysis
by G. David Garson

The Little Handbook of Statistical Practice by Gerard E. Dallal

Statistics at Square One by T D V Swinscow

Statistical Data Mining Tutorials - Tutorial Slides by Andrew Moore

StatPrimer
by B. Burt Gerstman

SticiGui by P. B. Stark

Multivariate statistics: Concepts, Models, and Applications
by David W. Stockburger

Statistics 30X Class Notes Department of Statistics  by H.J. Newton, J.H. Carroll, N. Wang, D. Whiting

Xycoon- Free online handbook of Statistics, Econometrics, and Forecasting

Engineering Statistics Handbook  
by National Institute of Standards and Technology (NIST)


Vendors
Decisionware
Bluequery BI Software


Mathtools.net
add this
AddMe.com Search Engine Optimization

BizMiner