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Régression quantile : applications sur l'utilisation des données expérimentales et transversales.
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Numéro de l'objet eBay :364769419035
Dernière mise à jour : août 11, 2024 17:55:00 HAEAfficher toutes les modificationsAfficher toutes les modifications
Caractéristiques de l'objet
- État
- Book Title
- Quantile Regression : Applications on Experimental and Cross Sect
- ISBN
- 9781119715177
- Subject Area
- Mathematics
- Publication Name
- Quantile Regression : Applications on Experimental and Cross Section Data Using Eviews
- Publisher
- Wiley & Sons, Incorporated, John
- Item Length
- 9.6 in
- Subject
- Probability & Statistics / Regression Analysis, General
- Publication Year
- 2021
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.3 in
- Item Weight
- 36.1 Oz
- Item Width
- 6.7 in
- Number of Pages
- 496 Pages
À propos de ce produit
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119715172
ISBN-13
9781119715177
eBay Product ID (ePID)
18050091909
Product Key Features
Number of Pages
496 Pages
Language
English
Publication Name
Quantile Regression : Applications on Experimental and Cross Section Data Using Eviews
Publication Year
2021
Subject
Probability & Statistics / Regression Analysis, General
Type
Textbook
Subject Area
Mathematics
Format
Hardcover
Dimensions
Item Height
1.3 in
Item Weight
36.1 Oz
Item Length
9.6 in
Item Width
6.7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2020-025365
Dewey Edition
23
Dewey Decimal
519.536
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
Synopsis
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(Ï„)s for Ï„(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 Âcriterion 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., 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()s for (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.
LC Classification Number
QA278.2.A32 2020
Description de l'objet du vendeur
Évaluations comme vendeur (353 509)
- o***l (310)- Évaluation laissée par l'acheteur.Dernière annéeAchat vérifiéThe item was described to a Tee. Very good communication. Shipping was just a little slow. The box the set of books comes in was damaged (bent corners) due to packaging. Not a deal breaker because the grand kids will not store in that box; might be if it were to be given as a present. The three books in the box arrived in prefect shape. I WOULD purchase from greatbookprices1 again in the future. ThanksConstruction Site Board Books Set, Hardcover by Rinker, Sherri Duskey; Lichte... (#364394914625)
- i***y (711)- Évaluation laissée par l'acheteur.Six derniers moisAchat vérifié2 volumes of Pogo comic strips, new and in perfect condition. Price was good, but shipping cost ($30 for two books) seems like a lot for how long it took to get delivered (23 days from Illinois to Spain). Also, seller communication was not great. First two times I wrote, their response did not address question. Third response explained at length about the private courier service they use and how it should take 1-10 business days to deliver. Maybe they should consider a different courier service.
- r***_ (108)- Évaluation laissée par l'acheteur.Dernier moisAchat vérifié*Same as the other review* Purchased two box sets from this seller with one being advertised as "like new" but was delivered as if it was actually new. Shipping time was a little slow, takes about 10 days to ship out and it takes a while to get through the system. But the packing was great and I'm still overall happy with my purchase.