Description: Correlation in Engineering and the Applied Sciences by Rajan Chattamvelli Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description The book presents novel topics such as (i) a quick analytical method to approximate Pearsons correlation, (ii) single-variable correlation, (iii) fractional co-skewness and co-kurtosis, and (iv) the fallacy on correlation between the sample mean and sample variance. Publisher Description This book focuses on correlation coefficients and its applications in applied science fields. The book begins by describing the historical development and various types of correlations. Rank correlation methods including Pearsons, Spearmans, and Kendalls correlation are discussed at length. The book also discusses sampling distribution of correlation coefficients and applications of correlations in various fields. The book presents novel topics such as (i) a quick analytical method to approximate Pearsons correlation, (ii) single-variable correlation, (iii) fractional co-skewness and co-kurtosis, and (iv) the fallacy on correlation between the sample mean and sample variance. This book is ideal for courses on mathematical statistics, engineering statistics, and exploratory data analysis and is primarily aimed at upper-undergraduate and graduate level students. The book is also useful for researchers and professionals in various fields who are interested in data analysis. Author Biography Rajan Chattamvelli, Ph.D., is a Professor in the School of Computer Science and Engineering at Amrita University, India. He has published more than 20 research articles in international journals, and his research interests include computational statistics, design of algorithms, parallel computing, data mining, machine learning, blockchain, combinatorics, and big data analytics. Details ISBN 3031510143 ISBN-13 9783031510144 Title Correlation in Engineering and the Applied Sciences Author Rajan Chattamvelli Format Hardcover Year 2024 Pages 179 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:160031794; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 58.52 USD
Location: Fairfield, Ohio
End Time: 2024-11-09T04:05:31.000Z
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ISBN-13: 9783031510144
Book Title: Correlation in Engineering and the Applied Sciences
Number of Pages: Xvi, 179 Pages
Language: English
Publication Name: Correlation in Engineering and the Applied Sciences : Applications in R
Publisher: Springer
Subject: Probability & Statistics / General, Probability & Statistics / Multivariate Analysis, General, Mathematical Analysis
Publication Year: 2024
Type: Textbook
Author: Rajan Chattamvelli
Subject Area: Mathematics
Item Length: 9.4 in
Item Width: 6.6 in
Series: Synthesis Lectures on Mathematics and Statistics Ser.
Format: Hardcover