{
"item_title" : "Applied Life Data Analysis P",
"item_author" : [" Nelson "],
"item_description" : "A practical guide to statistical methods for predicting product life and reliability, and comparing improvements in product manufacturing, design, and application. Describes the use of graphical methods, the method of maximum likelihood, censored data analysis, linear estimation, prediction methods, and methods for complete, singly censored, multiply censored, interval, and quantalresponse data. Techniques are illustrated with step-by-step, real-data numerical examples.",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/47/164/462/0471644625_b.jpg",
"price_data" : {
"retail_price" : "169.95", "online_price" : "169.95", "our_price" : "169.95", "club_price" : "169.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Overview
A practical guide to statistical methods for predicting product life and reliability, and comparing improvements in product manufacturing, design, and application. Describes the use of graphical methods, the method of maximum likelihood, censored data analysis, linear estimation, prediction methods, and methods for complete, singly censored, multiply censored, interval, and quantalresponse data. Techniques are illustrated with step-by-step, real-data numerical examples.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780471644620
- ISBN-10: 0471644625
- Publisher: John Wiley & Sons
- Publish Date: December 2003
- Dimensions: 9.28 x 6.36 x 1.17 inches
- Shipping Weight: 1.87 pounds
- Page Count: 664
Related Categories
