1.

Record Nr.

UNINA9910521809503321

Autore

Washington Simon

Titolo

Statistical and econometric methods for transportation data analysis [[electronic resource] /] : Simon Washington, Matthew G. Karlaftis, Fred Mannering, Panagiotis Anastaspoulos

Pubbl/distr/stampa

Boca Raton, : Chapman & Hall/CRC, 2020

ISBN

0-429-52075-1

0-429-24401-0

Edizione

[Third edition.]

Descrizione fisica

1 online resource (497 pages)

Collana

Chapman & Hall/CRC interdisciplinary statistics series

Altri autori (Persone)

KarlaftisMatthew G

ManneringFred L

AnastasopoulosPanagiotis Ch

Disciplina

388.015195

Soggetti

Transportation - Statistical methods

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Sommario/riassunto

Praise for the Second Edition: The second edition introduces an especially broad set of statistical methods As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master's and Ph.D. students, covering topics from simple descriptive statistics to complex Bayesian models. It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book offers a wealth of examples from the transportation field. --The American Statistician Statistical and Econometric Methods for Transportation Data Analysis, Third Edition offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics and to provide an increasing range of examples and corresponding data sets. It describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics.



Ample analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. New to the Third Edition Updated references and improved examples throughout. New sections on random parameters linear regression and ordered probability models including the hierarchical ordered probit model. A new section on random parameters models with heterogeneity in the means and variances of parameter estimates. Multiple new sections on correlated random parameters and correlated grouped random parameters in probit, logit and hazard-based models. A new section discussing the practical aspects of random parameters model estimation. A new chapter on Latent Class Models. A new chapter on Bivariate and Multivariate Dependent Variable Models. Statistical and Econometric Methods for Transportation Data Analysis, Third Edition can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems.



2.

Record Nr.

UNINA9910131983203321

Autore

D'Agostino Guido

Titolo

Napoli, Mezzogiorno, Europa : poteri, istituzioni e società / / Guido D'Agostino

Pubbl/distr/stampa

Napoli, : Liguori, 2008

ISBN

88-207-4616-6

Edizione

[1. ed. italiana.]

Descrizione fisica

viii, 205 p. ; ; 24 cm

Collana

Domini. Scienze storiche ; ; 22

Disciplina

945

320

306

352

Soggetti

Naples (Italy) History

Italy, Southern History

Europe History 20th century

Europe History 21st century

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Naples (Campania).

G. D'Agostino teaches at the University of Naples Federico II.

Nota di bibliografia

Includes bibliographical references.