Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Image from Google Jackets

Nonlinear regression modeling for engineering applications : modeling, model validation, and enabling design of experiments / R. Russell Rhinehart.

By: Material type: TextTextPublication details: Chichester : Wiley, ASME Press, ©2016.Description: xxxviii, 361 pages : illustrations ; 26 cmISBN:
  • 9781118597965
Subject(s): DDC classification:
  • 000SB:620.001  23 R473
Contents:
Part I. Introduction -- Part II. Preparation for underlying skills -- Part III. Regression, validation, design -- Part IV. Case studies and data -- Appendices.
Summary: Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization.
Tags from this library: No tags from this library for this title. Log in to add tags.

Includes bibliographical references and index.

Part I. Introduction --
Part II. Preparation for underlying skills --
Part III. Regression, validation, design --
Part IV. Case studies and data --
Appendices.

Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization.

There are no comments on this title.

to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in