Econometric modelling with time series : (Record no. 681694)

MARC details
000 -LEADER
fixed length control field 03305nam a2200361 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250930145250.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130814s2013 enka b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521196604 (hbk.)
Terms of availability RM700.57
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521139816 (pbk.)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201312021446
Level of effort used to assign nonsubject heading access points zabidah
Level of effort used to assign subject headings 201311140849
Level of effort used to assign classification hamudah
y 08-14-2013
z hamudah
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency UKM
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) HB141.M377
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) HB141
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) .M377
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Martin, Vance,
Dates associated with a name 1955-
245 10 - TITLE STATEMENT
Title Econometric modelling with time series :
Remainder of title specification, estimation and testing /
Statement of responsibility, etc. Vance Martin, University of Melbourne, Australia, Stan Hurn, Queensland University of Technology, Australia, David Harris, Monash University, Australia.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge, U. K. :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
300 ## - PHYSICAL DESCRIPTION
Extent xxxv, 887 pages :
Other physical details illustrations ;
Dimensions 25 cm.
490 0# - SERIES STATEMENT
Series statement Themes in modern econometrics
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 865-876) and indexes.
520 ## - SUMMARY, ETC.
Summary, etc. 'This book provides a general framework for specifying, estimating, and testing time series econometric models'--
Assigning source Provided by publisher.
520 ## - SUMMARY, ETC.
Summary, etc. 'Maximum likelihood estimation is a general method for estimating the parameters of econometric models from observed data. The principle of maximum likelihood plays a central role in the exposition of this book, since a number of estimators used in econometrics can be derived within this framework. Examples include ordinary least squares, generalized least squares and full-information maximum likelihood. In deriving the maximum likelihood estimator, a key concept is the joint probability density function (pdf) of the observed random variables, yt. Maximum likelihood estimation requires that the following conditions are satisfied. (1) The form of the joint pdf of yt is known. (2) The specification of the moments of the joint pdf are known. (3) The joint pdf can be evaluated for all values of the parameters, 9. Parts ONE and TWO of this book deal with models in which all these conditions are satisfied. Part THREE investigates models in which these conditions are not satisfied and considers four important cases. First, if the distribution of yt is misspecified, resulting in both conditions 1 and 2 being violated, estimation is by quasi-maximum likelihood (Chapter 9). Second, if condition 1 is not satisfied, a generalized method of moments estimator (Chapter 10) is required. Third, if condition 2 is not satisfied, estimation relies on nonparametric methods (Chapter 11). Fourth, if condition 3 is violated, simulation-based estimation methods are used (Chapter 12). 1.2 Motivating Examples To highlight the role of probability distributions in maximum likelihood estimation, this section emphasizes the link between observed sample data and 4 The Maximum Likelihood Principle the probability distribution from which they are drawn'--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Econometric models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Time-series analysis.
9 (RLIN) 61130
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hurn, Stan.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Harris, David,
Dates associated with a name 1969-
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b15701086
b 2019-11-12
c 2019-11-12
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type AM
Suppress in OPAC No
Call number prefix HB141.M377
914 ## - VTLS Number
VTLS Number vtls003537099
990 ## - EQUIVALENCES OR CROSS-REFERENCES [LOCAL, CANADA]
Link information for 9XX fields za
991 ## - LOCAL NOTE (NAMA FAKULTI/INSTITUT/PUSAT)
a Fakulti Ekonomi dan Pengurusan
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Library PERPUSTAKAAN TUN SERI LANANG
Operator's initials, OID (RLIN) 2013-01-08
Cataloger's initials, CIN (RLIN) m
Material Type (Sierra) Printed Books
Language English
Country
-- 0
-- .b15701086
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Coded location qualifier Cost, normal purchase price Inventory number Total checkouts Total renewals Full call number Barcode Date last seen Copy number Price effective from Koha item type
        PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG KOLEKSI AM-P. TUN SERI LANANG (ARAS 5) 12/11/2019 - 1 700.57 .i20375384 17 1 HB141.M377 00002105923 19/09/2025 1 19/09/2025 AM

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