A dynamic hurdle model for zeroinflated panel count data (Record no. 162702)
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fixed length control field | 01388nam a22002777a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | ZW-GwMSU |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240502092907.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 230626b |||||||| |||| 00| 0 eng d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
International Standard Serial Number | 13504851 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | MSU |
Transcribing agency | MSU |
Description conventions | rda |
Language of cataloging | English |
050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | HB1.A666 APP |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Belloc, Filippo |
Relator term | author |
245 12 - TITLE STATEMENT | |
Title | A dynamic hurdle model for zeroinflated panel count data |
Statement of responsibility, etc. | created by Filippo Belloc , Mauro Bernardi , Antonello Maruotti and Lea Petrella |
264 1# - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | New York: |
Name of producer, publisher, distributor, manufacturer | Taylor and Francis, |
Date of production, publication, distribution, manufacture, or copyright notice | 2013 |
336 ## - CONTENT TYPE | |
Source | rdacontent |
Content type term | text |
Content type code | txt |
337 ## - MEDIA TYPE | |
Source | rdamedia |
Media type term | unmediated |
Media type code | n |
338 ## - CARRIER TYPE | |
Source | rdacarrier |
Carrier type term | volume |
Carrier type code | nc |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
Title | Applied economics letters |
Volume/sequential designation | Volume 20, number 9 |
520 3# - SUMMARY, ETC. | |
Summary, etc. | This article proposes an approximate conditional dynamic finite mixture hurdle model for panel count data with excess of zeros and endogenous initial conditions. We provide parameter estimates by using the Expectation-Maximization (EM) algorithm in a Nonparametric Maximum Likelihood (NPML) framework. An application to a unique data set on traffic violation counts of a subpopulation of Italian drivers is given. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Hurdle model |
Form subdivision | Dynamic models |
General subdivision | Finite mixture |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Bernardi, Mauro |
Relator term | co-author |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Maurotti, Antonello |
Relator term | co-author |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Petrella, Lea |
Relator term | co-author |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1080/13504851.2012.750447 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Journal Article |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Serial Enumeration / chronology | Total Checkouts | Full call number | Date last seen | Copy number | Price effective from | Koha item type | Public note |
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Library of Congress Classification | Main Library | Main Library | - Special Collections | 15/01/2014 | Vol. 20, no 9 (pages 837-841) | HB1.A666 APP | 26/06/2023 | SP17975 | 26/06/2023 | Journal Article | For In House Use Only |