BOOKS - OS AND DB - Quantile Regression Applications on Experimental and Cross Sectio...
Quantile Regression Applications on Experimental and Cross Section Data using EViews - I. Gusti Ngurah Agung 2021 EPUB | PDF Wiley BOOKS OS AND DB
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Quantile Regression Applications on Experimental and Cross Section Data using EViews
Author: I. Gusti Ngurah Agung
Year: 2021
Format: EPUB | PDF
File size: 67 MB
Language: ENG

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.

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