Process Performance Models : Statistical, Probabilistic & Simulation

By Moorthy, Vishnuvarthanan

Book Id: WPLBN0003466719
Format Type: PDF eBook:
File Size: 1.74 MB
Reproduction Date: 7/16/2014

Title:	Process Performance Models : Statistical, Probabilistic & Simulation
Author:	Moorthy, Vishnuvarthanan
Volume:
Language:	English
Subject:	Non Fiction, Technology, Statistics and Engineering
Collections:	Authors Community, Engineering
Historic Publication Date:	2014
Publisher:	Self-published

Member Page:	vishnuvarthanan moorthy
Citation APA MLA Chicago Vishnuvarthanan Moorthy, B. T. (2014). Process Performance Models : Statistical, Probabilistic & Simulation. Retrieved from http://gutenberg.cc/

Description
Explains the various techniques of PPM development, simulation and optimization. All the explanations are given with IT industry and usage of alternate techniques to build PPM to suit even smaller organizations. Application of Statistical, Probablistic and Simulation models are elaborated.

Table of Contents
Modelling in CMMI What are the Characteristics of a Good PPM? The role of Simulation & Optimization Types of Models - Definitions Tree of Models Process of Modelling Modelling under our purview Regression Regression - Steps Regression - Example Validating model accuracy Variants in Regression Tools for Regression Bayesian Belief Networks Bayesian Belief Networks- Steps Bayesian – Sample Bayesian Tools Neural Network Neural Networks - Steps Neural Networks - Sample Neural Network Tools Reliability Modelling Reliability Modelling- Steps Reliability Modelling- Sample Reliability Modelling- Tools Process Modelling (Queuing System) Process Modelling -Steps Process Modelling -Validation Process Modelling -Tools Fuzzy Logic Fuzzy Logic- Sample Fuzzy Logic – Sample Monte Carlo Simulation Monte Carlo Simulation- STEPS Monte Carlo Simulation- SAMPLE Monte Carlo Tools Model Selection – Thought Key Characteristics to determine model References Thanks to Team Screenshots Contribution From Connect To Us