Wednesday, May 23, 2012

[B361.Ebook] Download Analysis of Quantal Response Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Byron J.T. Morgan

Download Analysis of Quantal Response Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Byron J.T. Morgan

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Analysis of Quantal Response Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Byron J.T. Morgan

Analysis of Quantal Response Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Byron J.T. Morgan



Analysis of Quantal Response Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Byron J.T. Morgan

Download Analysis of Quantal Response Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Byron J.T. Morgan

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Analysis of Quantal Response Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability), by Byron J.T. Morgan

This book takes the standard methods as the starting point, and then describes a wide range of relatively new approaches and procedures designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the computing requirements - facilities available in large computing packages like BMDP, SAS and SPSS are also described.

  • Sales Rank: #3793921 in Books
  • Published on: 1992-09-01
  • Original language: English
  • Number of items: 1
  • Dimensions: 8.50" h x 1.31" w x 5.51" l, 1.50 pounds
  • Binding: Hardcover
  • 512 pages

Review
"This book is a welcome addition to the analysis of dose-response quantal bioassays which are so important in toxicology and pharmacology...it contdains the best collection and description of all known methods in bioassays." -Short Book Reviews of the ISI ..."a thorough and readable reference..." -Technometrics "I believe that this book should be in the library of all applied statisticians...an excellent reference. It serves as a model for books on statistical methods in special areas and is a worthy successor to Finney's work, which has dominated the field for so long." -Journal of the American Statistical Association

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