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Title Conventional and fuzzy regression : theory and engineering applications / Vlassios Hrissanthou and Mike Spiliotis, Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece, editors.

Publication Info. Hauppauge, New York : Nova Science Publishers, Inc., [2018]

Item Status

Description 1 online resource.
text file
Series Environmental science, engineering and technology
Environmental science, engineering and technology series.
Bibliography Includes bibliographical references and index.
Summary "Aims to present both conventional and fuzzy regression analyses from theoretical aspects followed by application examples. The present book contains chapters originating from different scientific fields. The first deals with both crisp (conventional) linear or nonlinear regression and fuzzy linear or nonlinear regression. The application example refers to the relationship between sediment transport rates on the one hand and stream discharge and rainfall intensity on the other hand. Second chapter refers to the crisp linear or nonlinear regression of six heavy metals between different soft tissues and shells of Telescopium telescopium and its habitat surface sediments. Third describes the crisp linear, multiple linear, nonlinear and Gaussian process regressions. The fourth is confronted with a classic regression model, named Geographically Weighted Regression (GWR), which constitutes a spatial statistics method. The fifth chapter regards fuzzy linear regression based on symmetric triangular fuzzy numbers. The sixth chapter treats fuzzy linear regression based on trapezoidal membership functions. The main application of this chapter concerns the dependence of rainfall records between neighboring rainfall stations for a small sample of data. The next chapter refers to the multivariable crisp and fuzzy linear regression. The eighth chapter deals with the fuzzy linear regression, with crisp input data and fuzzy output data. All the chapters offer a proper foundation of either widely used or new techniques upon regression. Among the new techniques, several innovated fuzzy regression based methodologies are developed for real problems, and useful conclusions are drawn"-- Provided by publisher.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Engineering mathematics.
Engineering mathematics.
Fuzzy statistics.
Fuzzy statistics.
Regression analysis.
Regression analysis.
MATHEMATICS / Applied.
MATHEMATICS / Probability & Statistics / General.
Genre/Form Electronic books.
Added Author Hrissanthou, Vlassios, editor.
Spiliotis, Mike, editor.
Other Form: Print version: Conventional and fuzzy regression. Hauppauge, New York : Nova Science Publishers, Inc., [2018] 9781536137989 (DLC) 2018025725
ISBN 1536137995
9781536137996 (electronic book)
9781536137989 (hardcover)