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Quantile Regression : Applications on Experimental and Cross Section Data Usi...

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Specificaties

Objectstaat
Vrijwel nieuw: Een boek dat er als nieuw uitziet, maar al wel is gelezen. De kaft is niet zichtbaar ...
Book Title
Quantile Regression : Applications on Experimental and Cross Sect
ISBN
9781119715177
Publication Year
2021
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Quantile Regression : Applications on Experimental and Cross Section Data Using Eviews
Item Height
1.3in
Author
I. Gusti Ngurah Agung
Item Length
9.6in
Publisher
Wiley & Sons, Incorporated, John
Item Width
6.7in
Item Weight
36.1 Oz
Number of Pages
496 Pages

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Product Information

QUANTILE REGRESSION A thorough presentation of Quantile Regression designed to help readers obtain richer information from data analyses The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships between a dependent variable and one or more independent variables, where each equation estimation of a regression can give only a single regression function or fitted values variable. As an advanced mean regression analysis, each estimation equation of the mean-regression can be used directly to estimate the conditional quantile regression (QR), which can quickly present the statistical results of a set nine QR(τ)s for τ(tau)s from 0.1 up to 0.9 to predict detail distribution of the response or criterion variable. QR is an important analytical tool in many disciplines such as statistics, econometrics, ecology, healthcare, and engineering. Quantile Regression: Applications on Experimental and Cross Section Data Using EViews provides examples of statistical results of various QR analyses based on experimental and cross section data of a variety of regression models. The author covers the applications of one-way, two-way, and n-way ANOVA quantile regressions, QRs with multi numerical predictors, heterogeneous QRs, and latent variables QRs, amongst others. Throughout the text, readers learn how to develop the best possible quantile regressions and how to conduct more advanced analysis using methods such as the quantile process, the Wald test, the redundant variables test, residual analysis, the stability test, and the omitted variables test. This rigorous volume: Describes how QR can provide a more detailed picture of the relationships between independent variables and the quantiles of the criterion variable, by using the least-square regression Presents the applications of the test for any quantile of any numerical response or ­criterion variable Explores relationship of QR with heterogeneity: how an independent variable affects a dependent variable Offers expert guidance on forecasting and how to draw the best conclusions from the results obtained Provides a step-by-step estimation method and guide to enable readers to conduct QR analysis using their own data sets Includes a detailed comparison of conditional QR and conditional mean regression Quantile Regression: Applications on Experimental and Cross Section Data Using EViews is a highly useful resource for students and lecturers in statistics, data analysis, econometrics, engineering, ecology, and healthcare, particularly those specializing in regression and quantitative data analysis.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119715172
ISBN-13
9781119715177
eBay Product ID (ePID)
18050091909

Product Key Features

Author
I. Gusti Ngurah Agung
Publication Name
Quantile Regression : Applications on Experimental and Cross Section Data Using Eviews
Format
Hardcover
Language
English
Publication Year
2021
Type
Textbook
Number of Pages
496 Pages

Dimensions

Item Length
9.6in
Item Height
1.3in
Item Width
6.7in
Item Weight
36.1 Oz

Additional Product Features

Lc Classification Number
Qa278.2.A32 2020
Table of Content
Ch. 1: Test for Equality of Medians by Series/Group OF Variables Ch. 2: One and Two-Way ANOVA Quantile Regressions Ch. 3: N-Way ANOVA Quantile Regressions Ch. 4: Quantile Regressions Based On (Xi,Yi) Ch. 5: Quantile Regressions with Two Numerical Predictors Ch. 6: Quantile Regressions with Multi Numerical Predictors Ch. 7: Quantile Regressions with the Ranks of Numerical Predictors Ch. 8: Heterogeneous Quantile Regressions based on Experimental Data Ch. 9: Quantile Regressions Based On CPS88.wf1 Ch.10 : QUANTILE REGRESSIONS OF A LATENT VARIABLE Appendix A Appendix B Appendix C Bibliography
Copyright Date
2021
Topic
Probability & Statistics / Regression Analysis, General
Lccn
2020-025365
Dewey Decimal
519.536
Intended Audience
Scholarly & Professional
Dewey Edition
23
Genre
Mathematics

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