Articles liés à Probability Distributions: With Truncated, Log and...
Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
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Probability Distributions : With Truncated, Log and Bivariate Extensions
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Probability Distributions (Paperback)
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Springer Nature Switzerland AG, Cham, 2019
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ISBN 13 : 9783030093884
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Paperback. Etat : new. Paperback. This volume presents a concise and practical overview of statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data. The left- and right-truncated normal distributions offer a wide variety of shapes in contrast to the symmetrically shaped normal distribution, and a newly developed spread ratio enables analysts to determine which of the three distributions best fits a particular set of sample data. The book will be highly useful to anyone who does statistical andprobability analysis. This includes scientists, economists, management scientists, market researchers, engineers, mathematicians, and students in many disciplines. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783030093884
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Probability Distributions: With Truncated, Log and Bivariate Extensions
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Probability Distributions: With Truncated, Log and Bivariate Extensions
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Probability Distributions : With Truncated, Log and Bivariate Extensions
Edité par
Springer, 2019
ISBN 10 : 3030093883
ISBN 13 : 9783030093884
Ancien ou d'occasion
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Probability Distributions: With Truncated, Log and Bivariate Extensions
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Probability Distributions
ISBN 10 : 3030093883
ISBN 13 : 9783030093884
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume presents a concise and practical overview of statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and discrete probability distributions. Several useful distributions that are not so common and less understood are described with examples and applications in full detail: discrete normal, left-partial, right-partial, left-truncated normal, right-truncated normal, lognormal, bivariate normal, and bivariate lognormal. Table values are provided with examples that enable researchers to easily apply the distributions to real applications and sample data. The left- and right-truncated normal distributions offer a wide variety of shapes in contrast to the symmetrically shaped normal distribution, and a newly developed spread ratio enables analysts to determine which of the three distributions best fits a particular set of sample data. The book will be highly useful to anyone who does statistical andprobability analysis. This includes scientists, economists, management scientists, market researchers, engineers, mathematicians, and students in many disciplines. 184 pp. Englisch. N° de réf. du vendeur 9783030093884
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Probability Distributions
Edité par
Springer International Publishing, 2019
ISBN 10 : 3030093883
ISBN 13 : 9783030093884
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes statistical methods and tables not readily available elsewhereReviews common continuous and discrete probability distributionsExamples provided to guide reader on application of common distributions. N° de réf. du vendeur 448672206
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Probability Distributions: With Truncated, Log and Bivariate Extensions
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Etat : New. 2019. Paperback. . . . . . N° de réf. du vendeur V9783030093884
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Probability Distributions: With Truncated, Log and Bivariate Extensions
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Etat : New. PRINT ON DEMAND pp. 184. N° de réf. du vendeur 18376097036
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