Probability Distributions

Includes statistical methods and tables not readily available elsewhere
Reviews common continuous and discrete probability distributions
Examples provided to guide reader on application of common distributions
Presents other less understood but useful distributions in detail
Tables with examples to enable easy application of distributions to real applications and sample data
The spread ratio, ****a new statistic, allows analysts to determine best fit distributions for sample data

Includes statistical methods and tables not readily available elsewhere Reviews common continuous and discrete probability distributions Examples provided to guide reader on application of common distributions Presents other less understood but useful distributions in detail Tables with examples to enable easy application of distributions to real applications and sample data The spread ratio, a new statistic, allows analysts to determine best fit distributions for sample data

Autorentext
Nick T. Thomopoulos, Ph.D., has degrees in business (B.S.) and in mathematics (M.A.) from the University of Illinois, and in industrial engineering (Ph.D.) from Illinois Institute of Technology (Illinois Tech). He was supervisor of operations research at International Harvester; senior scientist at the IIT Research Institute; and Professor in Industrial Engineering and in the Stuart School of Business at Illinois Tech. He is the author of eleven books including Fundamentals of Queuing Systems (Springer), Essentials of Monte Carlo Simulation (Springer), Applied Forecasting Methods (Prentice Hall), and Fundamentals of Production, Inventory and the Supply Chain (Atlantic). He has published many papers and has consulted in a wide variety of industries in the United States, Europe and Asia. Dr. Thomopoulos has received honors over the years, such as the Rist Prize from the Military Operations Research Society for new developments in queuing theory; the Distinguished Professor Award in Bangkok, Thailand from the Illinois Tech Asian Alumni Association; and the Professional Achievement Award from the Illinois Tech Alumni Association.

Zusammenfassung
Includes statistical methods and tables not readily available elsewhere
Reviews common continuous and discrete probability distributions
Examples provided to guide reader on application of common distributions
Presents other less understood but useful distributions in detail
Tables with examples to enable easy application of distributions to real applications and sample data
The spread ratio, ****a new statistic, allows analysts to determine best fit distributions for sample data

Inhalt

1. Continuous Distributions.- 2. Discrete Distributions.- 3. Standard Normal.- 4. Partial Expectation.- 5. Left Truncated Normal.- 6. Right Truncated Normal.- 7. Truncated Normal Spread Ratio.- 8. Bivariate Normal.- 9. Lognormal.- 10. Bivariate Normal.