Quantile regression for cross-sectional and time series data (Record no. 4106)
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000 -LEADER | |
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fixed length control field | 01519nam a22002177a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20221111133349.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221111b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783030445034 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.536 |
Item number | URI |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Uribe, Jorge M. |
245 ## - TITLE STATEMENT | |
Title | Quantile regression for cross-sectional and time series data |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | Springer |
Name of publisher, distributor, etc. | Switzerland |
Date of publication, distribution, etc. | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | x, 63 p. |
365 ## - TRADE PRICE | |
Price type code | EURO |
Price amount | 27.99 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | About this book<br/>This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables. It will also benefit students using the methodology for the first time, and practitioners at private or public organizations who are interested in modeling different fragments of the conditional distribution of a given variable. The book pursues a practical approach with reference to energy markets, helping readers learn the main features of the technique more quickly. Emphasis is placed on the implementation details and the correct interpretation of the quantile regression coefficients rather than on the technicalities of the method, unlike the approach used in the majority of the literature. All applications are illustrated with R. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | R (Computer program language) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Time-series analysis |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Quantile regression |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Guillen, Montserrat |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | IT & Decisions Sciences | IN162 | 20-10-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 11/11/2022 | Bharatiya Sahitya Bhavana | 1547.73 | 519.536 URI | 003521 | 11/11/2022 | 1 | 2353.96 | 11/11/2022 | Book |