عنوان

Data analytics, computational statistics, and operations research for engineers :

(Number (ISBN

1000550427

(Number (ISBN

1003152392

(Number (ISBN

9781000550429

(Number (ISBN

9781000550467

(Number (ISBN

9781003152392

Erroneous ISBN

100055046X

Erroneous ISBN

9780367715113

Erroneous ISBN

9780367715120

Number

bc10911

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Data analytics, computational statistics, and operations research for engineers :

General Material Designation

[Book]

Other Title Information

methodologies and applications /

First Statement of Responsibility

edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh.

Edition Statement

First edition.

Place of Publication, Distribution, etc.

Boca Raton, FL :

Name of Publisher, Distributor, etc.

CRC Press,

Date of Publication, Distribution, etc.

[2022]

Date

2203

Specific Material Designation and Extent of Item

1 online resource

Text of Note

Includes bibliographical references and index.

Text of Note

Part 1: Statistical Computing. 1. Computational Arithmetic for Statistical Computation. 2. Numerical Algorithm and Software for Statistical Computation. 3. Impact of Modern Computer on Statistical Computing. 4. Numerical Methods as the Backbone of Simulation Techniques. 5. Linear Algebra and Optimization for Computation. 6. Role of Transformation Functions in Restructuring the Problem Statements. 7. Optimization of Computing Resources. 8. Role of Statistical Graphics in Data Analysis. Part 2: Statistical Methodology. 9. Computationally Intensive Statistical Methods. 10. Techniques in Computational Inferencing. 11. Computer Models for Design of Experiments. 12. Bayesian Analysis for Computational Inference. 13. Survival Analysis Models in Computational Methods. 14. Impact of Data Mining to the Computational Statistics for Machine Learning. Part 3: Computational Statistics Applications. 15. Computational Statistics in Finance and Economics. 16. Computationally Intensive Statistical Methods in Human Biology. 17. Computational Statistics within Clinical Research. 18. Computational Statistics for Network Security.

0

Text of Note

"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"--

Source for Acquisition/Subscription Address

Taylor & Francis

Stock Number

9781003152392

Title

Data analytics, computational statistics, and operations research for engineers

International Standard Book Number

9780367715113

Engineering-- Data processing.

Engineering-- Data processing.

TECHNOLOGY / Engineering / General

TEC-- 009000

TGP

Number

Edition

Class number

Samanta, Debabrata,1987-

Date of Transaction

20220225105040.0

Cataloguing Rules (Descriptive Conventions))

rda

Electronic name

[Book]

270410

Y