1.

Record Nr.

UNINA990002659840403321

Autore

Brown, Robert Goodell

Titolo

Statistical Forecasting for Inventor Control / by Brown R.G.

Pubbl/distr/stampa

New York : McGraw-Hill

Locazione

ECA

Collocazione

2-5-22-TI

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910970142003321

Autore

Chong Nak Y

Titolo

Networking humans, robots, and environments / / edited by Nak Young Chong

Pubbl/distr/stampa

Sharjah, U.A.E. ; ; Oak Park, Illinois : , : Bentham Science Publishers, , [2013]

©2013

ISBN

9781608057313

1608057313

Edizione

[1st ed.]

Descrizione fisica

1 online resource (255 p.)

Altri autori (Persone)

ChongNak-Young <1965->

Disciplina

701.05

Soggetti

Technology in art

Telecommunication in art

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Cover; Title; EUL; Contents; Foreword; Preface; List of Contributors; Keywords; Chapter 01; Chapter 02; Chapter 03; Chapter 04; Chapter 05; Chapter 06; Chapter 07; Chapter 08; Chapter 09; Chapter 10; Chapter 11; Index

Sommario/riassunto

This book dives into the heart of how to design distributed control



architectures for heterogeneous teams of humans, robots, and automated systems, enabling them to achieve greater cooperation and autonomy through the use of network technologiesReaders can envision a realistic view of what can be expected from a networked human robot cooperative environment in the next decade.

3.

Record Nr.

UNINA9911019867303321

Autore

Kotz Samuel

Titolo

Continuous multivariate distributions . Volume 1 Models and applications / / Samuel Kotz, N. Balakrishnan, Norman L. Johnson

Pubbl/distr/stampa

New York, : John Wiley & Sons, Inc., c2000

ISBN

9786610272778

9781280272776

1280272775

9780470304143

0470304146

9780471654032

0471654035

9780471722069

0471722065

Edizione

[2nd ed.]

Descrizione fisica

1 online resource (753 p.)

Collana

Wiley series in probability and statistics

Altri autori (Persone)

JohnsonNorman Lloyd

BalakrishnanN. <1956->

Disciplina

519.535

Soggetti

Distribution (Probability theory)

Multivariate analysis

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"A Wiley-Interscience publication."

Nota di bibliografia

Includes bibliographical references and indexes.

Nota di contenuto

Contents; Preface; List of Tables; List of Figures; 44 Systems of Continuous Multivariate Distributions; 1 Introduction; 2 Historical Remarks; 3 Multivariate Generalization of Pearson System; 4 Series Expansions and Multivariate Central Limit Theorems; 5 Translation Systems; 6 Multivariate Linear Exponential-Type Distributions; 7



Sarmanov's Distributions; 8 Multivariate Linnik's Distributions; 9 Multivariate Kagan's Distributions; 10 Generation of Multivariate Nonnormal Random Variables; 11 Fréchet Bounds; 12 Fréchet, Plackett and Mardia's Systems; 13 Farlie-Gumbel-Morgenstern Distributions

14 Multivariate Phase-Type Distributions15 Chebyshev-Type and Bonferroni Inequalities; 16 Singular Distributions; 17 Distributions with Almost-Lack of Memory; 18 Distributions with Specified Conditionals; 19 Distributions with Given Marginals; 20 Measures of Multivariate Skewness and Kurtosis; Bibliography; 45 Multivariate Normal Distributions; 1 Introduction and Genesis; 2 Definition and Moments; 3 Other Properties; 4 Order Statistics; 5 Evaluation of Multivariate Normal Probabilities; 5.1 Reduction Formulas; 5.2 Orthant Probabilities; 5.3 Some Special Cases; 5.4 Approximations

6 Quadrivariate Normal Orthant Probabilities7 Characterizations; 8 Estimation; 8.1 Estimation of ξ; 8.2 Estimation of V; 8.3 Estimation of Correlations; 8.4 Estimation Under Missing Data; 8.5 Estimation Under Special Structures; 8.6 Estimation of Functions of ξ and V; 9 Tolerance Regions; 10 Truncated Multivariate Normal Distributions; 11 Related Distributions; 12 Mixtures of Multivariate Normal Distributions; 13 Complex Multivariate Normal Distributions; Bibliography; 46 Bivariate and Trivariate Normal Distributions; 1 Definition and Applications; 2 Historical Remarks

3 Properties and Moments4 Bivariate Normal Integral-Tables and Approximations; 5 Characterizations; 6 Order Statistics; 7 Trivariate Normal Integral; 8 Estimation; 8.1 Bivariate Normal Distribution; 8.2 Trivariate Normal Distributions; 9 Truncated Bivariate and Trivariate Normal Distributions; 10 Dichotomized Variables; 10.1 Tetrachoric Correlation; 10.2 Biserial Correlation; 11 Related Distributions; 11.1 Mixtures of Bivariate Normal Distributions; 11.2 Bivariate Half Normal Distribution; 11.3 Distribution of Ratios; 11.4 ""Bivariate Normal"" Distribution with Centered Normal Conditionals

11.5 Bivariate Skew-Normal DistributionBibliography; 47 Multivariate Exponential Distributions; 1 Introduction; 2 Bivariate Exponential Distributions; 2.1 Introduction; 2.2 Gumbel's Bivariate Exponentials; 2.3 Freund's Bivariate Exponential (Bivariate Exponential Mixture Distributions); 2.4 Marshall and Olkin's Bivariate Exponential; 2.5 Friday and Patil's Bivariate Exponential; 2.6 Arnold and Strauss' Bivariate Exponential; 2.7 Moran and Downton's Bivariate Exponential; 2.8 Singpurwalla and Youngren's Bivariate Exponential; 2.9 Raftery's Bivariate Exponential

2.10 Hayakawa's Bivariate Exponential

Sommario/riassunto

Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV n