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Sinopsis
Excerpt from Investigating Smooth Multiple Regression by the Method of Average Derivatives
The output of the procedure is three - fold: a summary of the relative impacts of changes in x on y (via a graphical depiction of the possible nonlinearity between y and the weighted sum xté (a graph of g). And a formula for computing estimates of the mean response m(x) (from equation We refer to this as the ade method. For average derivative estimation.
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Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Excerpt from Investigating Smooth Multiple Regression by the Method of Average Derivatives
The output of the procedure is three - fold: a summary of the relative impacts of changes in x on y (via a graphical depiction of the possible nonlinearity between y and the weighted sum xté (a graph of g). And a formula for computing estimates of the mean response m(x) (from equation We refer to this as the ade method. For average derivative estimation.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Excerpt from Investigating Smooth Multiple Regression by the Method of Average Derivatives
Investigating Smooth Multiple Regression By the Method of Average Derivatives was written by Wolfgang Hardle. This is a 58 page book, containing 11475 words. Search Inside is enabled for this title.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Investigating Smooth Multiple Regression by the Method of Average Derivatives Classic Reprint
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781330278642
Cantidad disponible: 15 disponibles
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Investigating Smooth Multiple Regression by the Method of Average Derivatives Classic Reprint
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781330278642
Cantidad disponible: 15 disponibles
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Investigating Smooth Multiple Regression by the Method of Average Derivatives
Impresión bajo demandaLibrería: Forgotten Books, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. Print on Demand. This book introduces the method of average derivatives (ADE), a groundbreaking technique for analyzing complex relationships between multiple variables. Unlike traditional linear models, ADE captures non-linearities and allows for flexible modeling of real-world data. By estimating the average derivatives of a response variable with respect to individual predictors, the author provides a comprehensive framework for understanding the relative impacts of each variable. The book establishes the statistical properties of ADE, proving its consistency and asymptotic normality, and demonstrates its effectiveness through extensive simulations and a real-data application. The insights gained from ADE offer valuable guidance for data summarization, model interpretation, and decision-making in various fields, making it an essential resource for researchers and practitioners seeking to unravel the complexities of multivariate data. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Nº de ref. del artículo: 9781330278642_0
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