عنوان

Conventional and fuzzy regression :

(Number (ISBN

1536137995

(Number (ISBN

9781536137996

Erroneous ISBN

9781536137989

Title Proper

Conventional and fuzzy regression :

General Material Designation

[Book]

Other Title Information

theory and engineering applications /

First Statement of Responsibility

Vlassios Hrissanthou and Mike Spiliotis, Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece, editors.

Place of Publication, Distribution, etc.

Hauppauge, New York :

Name of Publisher, Distributor, etc.

Nova Science Publishers, Inc.,

Date of Publication, Distribution, etc.

[2018]

Date

1808

Specific Material Designation and Extent of Item

1 online resource.

Series Title

Environmental science, engineering and technology

Text of Note

Includes bibliographical references and index.

Text of Note

"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"--

Title

Conventional and fuzzy regression.

International Standard Book Number

9781536137989

Engineering mathematics.

Fuzzy statistics.

Regression analysis.

Engineering mathematics.

Fuzzy statistics.

MATHEMATICS / Applied

MATHEMATICS / Probability & Statistics / General

Regression analysis.

MAT-- 003000

MAT-- 029000

Number

Edition

Class number

Hrissanthou, Vlassios

Spiliotis, Mike

Date of Transaction

20200823042438.0

Cataloguing Rules (Descriptive Conventions))

rda

Electronic name

[Book]

Y