Description: Nonparametric Kernel Density Estimation and Its Computational Aspects by Artur Gramacki Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. Publisher Description This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented.The theory of KDE appears to have matured and is now well developed and understood. However, there is not much progress observed in terms of performance improvements. This book is an attempt to remedy this.The book primarily addresses researchers and advanced graduate or postgraduate students who are interested in KDE and its computational aspects. The book contains both some background and much more sophisticated material, hence also more experienced researchers in the KDE area may find it interesting.The presented material is richly illustrated with many numerical examples using both artificial and real datasets. Also, a number of practical applications related to KDE are presented. Author Biography Artur Gramacki is an assistant professor at the Institute of Control and Computation Engineering of the University of Zielona Góra, Poland. His main interests cover general exploratory data analysis, while recently he has focused on parametric and nonparametric statistics as well as kernel density estimation, especially its computational aspects. In his career, he has also been involved in many projects related to the design and implementation of commercial database systems, mainly using Oracle RDBMS. He is a keen supporter of the R Project for Statistical Computing, which he tries to use both in his research and teaching activities. Details ISBN 3319716875 ISBN-13 9783319716879 Title Nonparametric Kernel Density Estimation and Its Computational Aspects Author Artur Gramacki Format Hardcover Year 2018 Pages 176 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:137668120; 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: 199.91 USD
Location: Fairfield, Ohio
End Time: 2024-11-29T03:01:43.000Z
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Restocking Fee: No
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ISBN-13: 9783319716879
Book Title: Nonparametric Kernel Density Estimation and Its Computational Asp
Number of Pages: Xxix, 176 Pages
Publication Name: Nonparametric Kernel Density Estimation and Its Computational Aspects
Language: English
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Functional Analysis, Intelligence (Ai) & Semantics, Databases / General, Complex Analysis
Publication Year: 2018
Item Weight: 17 Oz
Type: Textbook
Author: Artur Gramacki
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Series: Studies in Big Data Ser.
Item Width: 6.1 in
Format: Hardcover
