عنوان

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

شابک

1000550427

شابک

1003152392

شابک

9781000550429

شابک

9781000550467

شابک

9781003152392

شابک اشتباه

100055046X

شابک اشتباه

9780367715113

شابک اشتباه

9780367715120

شماره

bc10911

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

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

نام عام مواد

[Book]

ساير اطلاعات عنواني

methodologies and applications /

نام نخستين پديدآور

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

وضعيت ويراست

First edition.

محل نشرو پخش و غیره

Boca Raton, FL :

نام ناشر، پخش کننده و غيره

CRC Press,

تاریخ نشرو بخش و غیره

[2022]

تاريخ

2203

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

"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"--

منبع سفارش / آدرس اشتراک

Taylor & Francis

شماره انبار

9781003152392

عنوان

Data analytics, computational statistics, and operations research for engineers

شماره استاندارد بين المللي کتاب و موسيقي

9780367715113

موضوع مستند نشده

Engineering-- Data processing.

موضوع مستند نشده

Engineering-- Data processing.

موضوع مستند نشده

TECHNOLOGY / Engineering / General

موضوع مستند نشده

TEC-- 009000

موضوع مستند نشده

TGP

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Samanta, Debabrata,1987-

تاريخ عمليات

20220225105040.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

نام الکترونيکي

نوع ماده

[Book]

کد کاربرگه

270410

تكميل شده

Y