國立虎尾科技大學 |

Probability distributions = with truncated, log and bivariate extensions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Probability distributions/ by Nick T. Thomopoulos.
Reminder of title:	with truncated, log and bivariate extensions /
Author:	Thomopoulos, Nick T.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xix, 163 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Distribution (Probability theory) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-76042-1
ISBN:	9783319760421

Probability distributions = with truncated, log and bivariate extensions /
Thomopoulos, Nick T.

Probability distributionswith truncated, log and bivariate extensions /[electronic resource] :by Nick T. Thomopoulos. - Cham :Springer International Publishing :2018. - xix, 163 p. :ill., digital ;24 cm.

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.

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 and probability analysis. This includes scientists, economists, management scientists, market researchers, engineers, mathematicians, and students in many disciplines. 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.

ISBN: 9783319760421

Standard No.: 10.1007/978-3-319-76042-1doiSubjects--Topical Terms:

527721
Distribution (Probability theory)

LC Class. No.: QA273.6 / .T466 2018

Dewey Class. No.: 519.24

Probability distributions = with truncated, log and bivariate extensions /
LDR:03532nam a2200313 a 4500 001 925195
003 DE-He213
005 20181011131221.0
006 m d
007 cr nn 008maaau
008 190625s2018 gw s 0 eng d
020 $a 9783319760421 $q (electronic bk.)
020 $a 9783319760414 $q (paper)
024 7 $a 10.1007/978-3-319-76042-1 $2 doi
035 $a 978-3-319-76042-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA273.6 $b .T466 2018
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.24 $2 23
090 $a QA273.6 $b .T466 2018
100 1 $a Thomopoulos, Nick T. $3 891555
245 1 0 $a Probability distributions $h [electronic resource] : $b with truncated, log and bivariate extensions / $c by Nick T. Thomopoulos.
260 $a Cham : $c 2018. $b Springer International Publishing : $b Imprint: Springer,
300 $a xix, 163 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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 and probability analysis. This includes scientists, economists, management scientists, market researchers, engineers, mathematicians, and students in many disciplines. 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.
650 0 $a Distribution (Probability theory) $3 527721
650 0 $a Theory of distributions (Functional analysis) $3 896088
650 1 4 $a Statistics. $3 556824
650 2 4 $a Statistical Theory and Methods. $3 671396
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-76042-1
950 $a Mathematics and Statistics (Springer-11649)