{ "item_title" : "Multiple Comparisons Using R", "item_author" : [" Frank Bretz", "Torsten Hothorn", "Peter Westfall "], "item_description" : "Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. Adopting a unifying theme based on maximum statistics, this self-contained introduction describes the common underlying theory of multiple comparison procedures through numerous examples. It covers a range of multiple comparison procedures, from the Bonferroni method and Simes' test to resampling and adaptive design methods. The book also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http: //CRAN.R-project.org", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/58/488/574/1584885742_b.jpg", "price_data" : { "retail_price" : "140.99", "online_price" : "140.99", "our_price" : "140.99", "club_price" : "140.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details