{
"item_title" : "A Parametric Approach to Nonparametric Statistics",
"item_author" : [" Mayer Alvo", "Philip L. H. Yu "],
"item_description" : "I. Introduction and Fundamentals.- Introduction.- Fundamental Concepts in Parametric Inference.- II. Modern Nonparametric Statistical Methods.- Smooth Goodness of Fit Tests.- One-Sample and Two-Sample Problems.- Multi-Sample Problems.- Tests for Trend and Association.- Optimal Rank Tests.- Efficiency.- III. Selected Applications.- Multiple Change-Point Problems.- Bayesian Models for Ranking Data.- Analysis of Censored Data.- A. Description of Data Sets.",
"item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/006/804/3030068048_b.jpg",
"price_data" : {
"retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Overview
I. Introduction and Fundamentals.- Introduction.- Fundamental Concepts in Parametric Inference.- II. Modern Nonparametric Statistical Methods.- Smooth Goodness of Fit Tests.- One-Sample and Two-Sample Problems.- Multi-Sample Problems.- Tests for Trend and Association.- Optimal Rank Tests.- Efficiency.- III. Selected Applications.- Multiple Change-Point Problems.- Bayesian Models for Ranking Data.- Analysis of Censored Data.- A. Description of Data Sets.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783030068042
- ISBN-10: 3030068048
- Publisher: Springer
- Publish Date: December 2018
- Dimensions: 11 x 8.25 x 0.62 inches
- Shipping Weight: 1.48 pounds
- Page Count: 279
Related Categories
