Statistics with Maple
- Publisher's listprice EUR 61.95
-
25 693 Ft (24 470 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 2 569 Ft off)
- Discounted price 23 124 Ft (22 023 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
25 693 Ft
Availability
cancelled
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 3
- Publisher Elsevier Science
- Date of Publication 15 December 2002
- ISBN 9780120415564
- Binding Paperback
- No. of pages822 pages
- Size 234x190 mm
- Weight 1360 g
- Language English 0
Categories
Long description:
Statistics with Maple is a practical guide for engineers, statisticians, business professionals and others who use the Maple software package and who wish to use it to produce numerical summaries, make graphical displays, and perform statistical inference. The book and software package is unique in its focus on using Maple for statistical methodology.
This tutorial and reference manual assumes that readers have a basic knowledge of statistics and a familiarity with Maple.
Table of Contents:
Working With Maple; Data and Data File Manipulation; Univariate Methods for Describing Data; Multivariate Methods for Describing Data; Tabular and Graphical Methods for Presenting Data; Data Smoothing and Time Series An Introduction; Probability and Probability Distributions; Random Number Generation and Simulation; One and Two Sample Inferential Procedures; Analysis of Variance and Multiple Comparisons of Means; Diagnostic Procedures and Transformations; Regression and Correlation; Nonparametric Methods
More
