Book by Karian, Zaven A., Tanis, Elliot

Probability and Statistics Explorations with MAPLE (2nd Edition)

Science & Math

Tanis, Elliot A.

Karian, Zaven A.

Mathematics

PRENTICE/HALL

Probability & Statistics Exploration

Pearson College Div

Book by Karian, Zaven A., Dudewicz, Edward J.

Modern Statistical Systems and Gpss Simulation: The First Course

Computers & Technology

Dudewicz, Edward J.

Computer Science

W.H.Freeman & Co.

Modern Statistical, Systems, and GPSS Simulation, Second Edition

Modern Statistical, Systems, and GPSS Simulation, Second Edition introduces the theory and implementation of discrete-event simulation. This text: 
<li>establishes a theoretical basis for simulation methodology 
</li>
<li>provides details of an important simulation language (GPSS - General Purpose Simulation System) 
</li>
<li>integrates these two elements in a systems simulation case study Valuable additions to the second edition include coverage of random number generators with astronomic period, new entropy-based tests of uniformity, gamma variate generation, results on the GLD, and variance reduction techniques. GPSS/PC is an interactive implementation of GPSS for the IBM-PC compatible family of microcomputers. The disk accompanying Modern Statistical, Systems, and GPSS Simulation contains the limited educational version of GPSS/PC with many illustrative examples discussed in the text.</li>

Business & Money

Economics

CRC-Press

Modern Statistical, Systems, and GPSS Simulation, Second Edition introduces the theory and implementation of discrete-event simulation. This text: <ul> <li>establishes a theoretical basis for simulation methodology </li> <li>provides details of an important simulation language (GPSS - General Purpose Simulation System) </li> <li>integrates these two elements in a systems simulation case study Valuable additions to the second edition include coverage of random number generators with astronomic period, new entropy-based tests of uniformity, gamma variate generation, results on the GLD, and variance reduction techniques. GPSS/PC is an interactive implementation of GPSS for the IBM-PC compatible family of microcomputers. The disk accompanying Modern Statistical, Systems, and GPSS Simulation contains the limited educational version of GPSS/PC with many illustrative examples discussed in the text.</li> </ul>

Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas, tables, diagrams, and general properties-continue to create problems. For a specific application, which of the dozens of distributions should one use? What if none of them fit well? Fitting Statistical Distributions helps answer those questions. Focusing on techniques used successfully across many fields, the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD), the Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do not exist. Regardless of your specific field-physical science, social science, or statistics, practitioner or theorist-Fitting Statistical Distributions is required reading. It includes wide-ranging applications illustrating the methods in practice and offers proofs of key results for those involved in theoretical development. Without it, you may be using obsolete methods, wasting time, and risking incorrect results.

Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods

Chapman and Hall/CRC

With the development of new fitting methods, their increased use in applications, and improved computer languages, the fitting of statistical distributions to data has come a long way since the introduction of the generalized lambda distribution (GLD) in 1969. Handbook of Fitting Statistical Distributions with R presents the latest and best methods, algorithms, and computations for fitting distributions to data. It also provides in-depth coverage of cutting-edge applications. The book begins with commentary by three GLD pioneers: John S. Ramberg, Bruce Schmeiser, and Pandu R. Tadikamalla. These leaders of the field give their perspectives on the development of the GLD. The book then covers GLD methodology and Johnson, kappa, and response modeling methodology fitting systems. It also describes recent additions to GLD and generalized bootstrap methods as well as a new approach to goodness-of-fit assessment. The final group of chapters explores real-world applications in agriculture, reliability estimation, hurricanes/typhoons/cyclones, hail storms, water systems, insurance and inventory management, and materials science. The applications in these chapters complement others in the book that deal with competitive bidding, medicine, biology, meteorology, bioassays, economics, quality management, engineering, control, and planning. New results in the field have generated a rich array of methods for practitioners. Making sense of this extensive growth, this comprehensive and authoritative handbook improves your understanding of the methodology and applications of fitting statistical distributions. The accompanying CD-ROM includes the R programs used for many of the computations.

Handbook of Fitting Statistical Distributions With R

Chapman & Hall

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Books by Karian, Zaven A.

See the best price to sell, buy, or rent books by Karian, Zaven A.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Probability and Statistics Explorations with MAPLE (2nd Edition)

Probability & Statistics Exploration

Modern Statistical Systems and Gpss Simulation: The First Course

Modern Statistical, Systems, and GPSS Simulation, Second Edition

Modern Statistical, Systems, and GPSS Simulation, Second Edition

Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods

Handbook of Fitting Statistical Distributions With R