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＜E-Book＞
Applied Statistics : A Handbook of BMDP™ Analyses / by David Cox

Edition	1st ed. 1987.
Publisher	(Dordrecht : Springer Netherlands : Imprint: Springer)
Year	1987
Size	IX, 171 p. 1 illus : online resource
Authors	*Cox, David author SpringerLink (Online service)
Subjects	LCSH:Probabilities LCSH:Social sciences LCSH:Humanities FREE:Probability Theory FREE:Humanities and Social Sciences
Notes	BMDP programs used (or suggested) for the examples -- Some points on the BMDP instructions -- Examples -- A Admissions to intensive care unit -- B Intervals between adjacent births -- C Statistical aspects of literary style -- D Temperature distribution in a chemical reactor -- E A ‘before and after’ study of blood pressure -- F Comparison of industrial processes in the presence of trend -- G Cost of construction of nuclear power plants -- H Effect of process and purity index on fault occurrence -- I Growth of bones from chick embryos -- J Factorial experiment on cycles to failure of worsted yarn -- K Factorial experiment on diets for chickens -- L Binary preference data for detergent use -- M Fertilizer experiment on growth of cauliflowers -- N Subjective preference data on soap pads -- O Atomic weight of iodine -- P Multifactor experiment on a nutritive medium -- Q Strength of cotton yarn -- R Biochemical experiment on the blood of mice -- S Voltage regulator performance -- T Intervals between the failure of air-conditioning equipment in aircraft -- U Survival times of leukemia patients -- V A retrospective study with binary data -- W Housing and associated factors -- X Educational plans of Wisconsin schoolboys -- Further Sets of Data -- Set 3 Survival times of rats -- Set 14 Grouping of perfumes -- References This handbook is a realization of a long term goal of BMDP Statistical Software. As the software supporting statistical analysis has grown in breadth and depth to the point where it can serve many of the needs of accomplished statisticians it can also serve as an essential support to those needing to expand their knowledge of statistical applications. Statisticians should not be handicapped by heavy computation or by the lack of needed options. When Applied Statistics, Principle and Examples by Cox and Snell appeared we at BMDP were impressed with the scope of the applications discussed and felt that many statisticians eager to expand their capabilities in handling such problems could profit from having the solutions carried further, to get them started and guided to a more advanced level in problem solving. Who would be better to undertake that task than the authors of Applied Statistics? A year or two later discussions with David Cox and Joyce Snell at Imperial College indicated that a wedding of the problem statements and suggested solutions with control language to accomplish these analyses would further the learning process for many statisticians. They were willing to undertake the project. Joyce Snell has done an excellent job of melding the two approaches and has carried many of the problems a step further by suggesting alternate approaches and follow-up analyses HTTP:URL=https://doi.org/10.1007/978-94-011-6946-2

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