menu
{ "item_title" : "Statistical Factor Analysis and Related Methods", "item_author" : [" Alexander T. Basilevsky "], "item_description" : "Statistical Factor Analysis and Related Methods Theory andApplications In bridging the gap between the mathematical andstatistical theory of factor analysis, this new work represents thefirst unified treatment of the theory and practice of factoranalysis and latent variable models. It focuses on such areasas: * The classical principal components model and sample-populationinference * Several extensions and modifications of principal components, including Q and three-mode analysis and principal components in thecomplex domain * Maximum likelihood and weighted factor models, factoridentification, factor rotation, and the estimation of factorscores * The use of factor models in conjunction with various types ofdata including time series, spatial data, rank orders, and nominalvariable * Applications of factor models to the estimation of functionalforms and to least squares of regression estimators", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/47/157/082/0471570826_b.jpg", "price_data" : { "retail_price" : "179.95", "online_price" : "179.95", "our_price" : "179.95", "club_price" : "179.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Statistical Factor Analysis and Related Methods|Alexander T. Basilevsky

Statistical Factor Analysis and Related Methods : Theory and Applications

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

Overview

Statistical Factor Analysis and Related Methods Theory andApplications In bridging the gap between the mathematical andstatistical theory of factor analysis, this new work represents thefirst unified treatment of the theory and practice of factoranalysis and latent variable models. It focuses on such areasas:
* The classical principal components model and sample-populationinference
* Several extensions and modifications of principal components, including Q and three-mode analysis and principal components in thecomplex domain
* Maximum likelihood and weighted factor models, factoridentification, factor rotation, and the estimation of factorscores
* The use of factor models in conjunction with various types ofdata including time series, spatial data, rank orders, and nominalvariable
* Applications of factor models to the estimation of functionalforms and to least squares of regression estimators

This item is Non-Returnable

Details

  • ISBN-13: 9780471570820
  • ISBN-10: 0471570826
  • Publisher: Wiley-Interscience
  • Publish Date: July 1994
  • Dimensions: 9.59 x 6.46 x 1.77 inches
  • Shipping Weight: 2.73 pounds
  • Page Count: 768

Related Categories

You May Also Like...

    1

BAM Customer Reviews