Handbook of Percentage Points of the Inverse Gaussian Distributions
Regular price
€291.40
14 days return policy
Shipping & Delivery
A01=James A. Koziol
Age Group_Uncategorized
Age Group_Uncategorized
Author_James A. Koziol
automatic-update
Brownian motion modeling
Category1=Non-Fiction
Category=PS
COP=United Kingdom
cumulative distribution function
Cumulative Generating Function
Cumulative Probability Distribution
Delivery_Pre-order
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Finite Difference Method
Inverse Gaussian
Lagrange Polynomial
Language_English
mechanical engineering applications
ordered statistical tables
PA=Temporarily unavailable
Passage Time Distribution
Price_€100 and above
Probability Density Function
PS=Active
quality control statistics
sequential analysis
Sequential Probability Ratio Tests
softlaunch
Standard Normal Cumulative Distribution Function
statistical tables for boundary crossing
Wald's Distribution
Wald’s Distribution
Wiener Process
Product details
- ISBN 9781315892061
- Weight: 730g
- Dimensions: 152 x 229mm
- Publication Date: 29 Nov 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
Secure
checkout
Fast Shipping
Easy returns
The purpose of this handbook is to provide comprehensive tables of percentage points of the inverse Gaussian distribution. There is no other publication available today which condenses these tables - to such extent-in a concise, straightforward manner. The inverse Gaussian distribution is not only important for determining boundary crossing probabilities of Brownian Motion, which probabilities determine the operating characteristics of many sequential sampling procedures in statistics. It is also used in quality control procedures.
This one-of-a-kind work includes a brief introductory section which outlines the inverse Gaussian distribution and explains the tables. The tables are produced in a fine grid of cumulative probabilities, and uses the closed form expression for the cumulative distribution function. This easy-to-use table reference also includes an excellent discussion of searching ordered tables. This handbook is a helpful, indispensable guide for all who are involved with statistics, mathematics, and computers. Mechanical engineers and physicists will find it useful also.
