Operation Research Calculation Handbook

Operation Research Calculation Handbook, Written by Dennis E. Blumenfeld, Publisher: CRC Press Newyork. ISBN 0-8493-2127-1 Size: 2,25 Mb.

Contents:

Chapter 1 Introduction

Chapter 2 Means and Variance

Chapter 3 Discrete Probability Distributions

Chapter 4 Continuous Probability Distributions

Chapter 5 Probability Relationships

Chapter 6 Stochastic Processes

Chapter 7 Queuing Theory Results

Chapter 8 Production Systems Modeling

Chapter 9 Inventory Control

Chapter 10 Distance Formulas for Logistics Analysis

Chapter 11 Linier Programming Formulations

Chapter 12 Mathematical Functions

Chapter 13 Calculus Results

Chapter 14 Matrices

Chapter 15 Combinatory

Chapter 16 Summations

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Multivariate Statistical Process Control with Industrial Application

Multivariate Statistical Process Control with Industrial Application By Robert L. Mason, John C. Young
Publisher: Information Science Publishing | ISBN: 0898714966 | 2002 | PDF | 250 pages | 14 Mb

This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC)based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables.
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statistical table, explained and applied

Louis Laurencelle, Francois Dupuis “Statistical Tables: Exlained and Applied"
World Scientific Publishing Company | 2002-03-01 | ISBN: 9810249195 | 244 pages | PDF | 11 Mb

Contains several new or unpublished tables, such as one on the significance of the correlation coefficient r, one giving the percentiles of the statistic for monotonic variation, and a table of coefficients for the re-conversion of orthogonal polynomials.
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Meta Analysis

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence.
The book is comprised of two parts – The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology.
This is a coherent introduction to the statistical concepts required to understand the authors’ thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.

Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte “Meta Analysis:
A Guide to Calibrating and Combining Statistical Evidence"
Wiley-Interscience | 2008-04-25 | ISBN: 0470028645 | 282 pages | PDF | 2,4 Mb
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six sigma statistic

Alastair Muir, "Lean Six Sigma Statistics"
McGraw-Hill Professional | 2005-08-26 | ISBN: 0071445854 | 333 pages | PDF | 4,2 MB

The marriage between Lean Manufacturing and Six Sigma has proven to be a powerful tool for cutting waste and improving the organization’s operations. This third book in the Six Sigma Operations series picks up where other books on the subject leave off by providing the six sigma practioners with a statistical guide for solving problems they may encounter in implementing and managing a Lean Six Sigma programs. The book draws it examples from all sectors of business ranging from financial to manufacturing providing the reader with a wealth of case studies and as numerous worked out equations which are designed to facilitate the full potential of any Lean Six Sigma project.

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Quantitative Data Analysis with SPSS

Pete Greasley “Quantitative Data Analysis with SPSS"
Open University Press | 2007-12-01 | ISBN: 0335223052 | 144 pages | PDF | 2,67 MB


This accessible book is essential reading for those looking for a short and simple guide to basic data analysis. Written for the complete beginner, the book is the ideal companion when undertaking quantitative data analysis for the first time using SPSS.
The book uses a simple example of quantitative data analysis that would be typical to the health field to take you through the process of data analysis step by step. The example used is a doctor who conducts a questionnaire survey of 30 patients to assess a specific service. The data from these questionnaires is given to you for analysis, and the book leads you through the process required to analyse this data.
Handy screenshots illustrate each step of the process so you can try out the analysis for yourself, and apply it to your own research with ease.
Topics covered include:
Questionnaires and how to analyse them
Coding the data for SPSS, setting up an SPSS database and entering the data
Descriptive statistics and illustrating the data using graphs
Cross-tabulation and the Chi-square statistic
Correlation: examining relationships between interval data
Examining differences between two sets of scores
Reporting the results and presenting the data
Quantitative Data Analysis Using SPSS is helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.
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