Data Analytics, Computational Statistics, and Operations Research for Engineers

Methodologies and Applications

By: Debabrata Samanta (Editor), SK Hafizul Islam (Editor), Naveen Chilamkurti (Editor), Mohammad Hammoudeh (Editor)

Write A Review

Hardcover | 25 March 2022 | Edition Number 1

At a Glance

Hardcover
276 Pages

Dimensions(cm)
23.4 x 15.6 x 1.75

Hardcover

$528.75

or 4 interest-free payments of $132.19 with

Ships in 15 to 25 business days

With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.

Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information.

Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.