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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 4 October 2024
- ISBN 9780367537425
- Binding Paperback
- No. of pages272 pages
- Size 234x156 mm
- Weight 420 g
- Language English
- Illustrations 33 Illustrations, black & white; 1 Halftones, black & white; 32 Line drawings, black & white; 20 Tables, black & white 601
Categories
Short description:
Whoever has the data has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with a collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertips of readers.
MoreLong description:
Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers.
This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas.
This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.
MoreTable of Contents:
Chapter 1. Essential Data Analytics. Chapter 2. Empirical Model Building. Chapter 3. Data Visualization Methods. Chapter 4. Basic Mathematical Calculations for Data Analytics. Chapter 5. Statistical Methods for Data Analytics. Chapter 6. Descriptive Statistics for Data Presentation. Chapter 7. Data Analytics Tools for Understanding Random Field Regression Models. Chapter 8. Application of DEJI Systems Model to Data Integration.
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