menu
{ "item_title" : "Mathematical Statistics", "item_author" : [" John I. Marden "], "item_description" : "Mathematical Statistics: Old School covers three main areas: The mathematics needed as a basis for work in statistics; the mathematical methods for carrying out statistical inference; and the theoretical approaches for analyzing the efficacy of various procedures. The author, John Marden, developed this material over the last thirty years teaching various configurations of mathematical statistics and decision theory courses. It is intended as a graduate-level text.Topics include distribution theory, asymptotic convergence, frequentist and Bayesian inference (estimation, hypothesis testing, confidence intervals, model selection), exponential families, linear regression, likelihood methods, bootstrap and randomization methods, and statistical decision theory.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/54/243/960/1542439604_b.jpg", "price_data" : { "retail_price" : "29.95", "online_price" : "29.95", "our_price" : "29.95", "club_price" : "29.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mathematical Statistics|John I. Marden

Mathematical Statistics : Old School

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Mathematical Statistics: Old School covers three main areas: The mathematics needed as a basis for work in statistics; the mathematical methods for carrying out statistical inference; and the theoretical approaches for analyzing the efficacy of various procedures. The author, John Marden, developed this material over the last thirty years teaching various configurations of mathematical statistics and decision theory courses. It is intended as a graduate-level text. Topics include distribution theory, asymptotic convergence, frequentist and Bayesian inference (estimation, hypothesis testing, confidence intervals, model selection), exponential families, linear regression, likelihood methods, bootstrap and randomization methods, and statistical decision theory.

This item is Non-Returnable

Details

  • ISBN-13: 9781542439602
  • ISBN-10: 1542439604
  • Publisher: Createspace Independent Publishing Platform
  • Publish Date: August 2017
  • Dimensions: 9 x 6 x 0.93 inches
  • Shipping Weight: 1.35 pounds
  • Page Count: 462

Related Categories

You May Also Like...

    1

BAM Customer Reviews