STATISTICS IN RESEARCH AND DEVELOPMENT

Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge of statistics or otherwise do not know how to apply it to research and development problems. The first edition of Statisti...

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Bibliographic Details
Main Author: Caulcutt, Roland (Author)
Format: Book
Language:English
Published: London Chapman & Hall 1991
Edition:Second edition
Subjects:
Online Access:Click Here to View Status and Holdings.
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041 0 # |a eng 
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100 1 # |a Caulcutt, Roland  |e author 
245 1 1 |a STATISTICS IN RESEARCH AND DEVELOPMENT  |c Roland Caulcutt 
250 # # |a Second edition 
264 # 1 |a London  |b Chapman & Hall  |c 1991 
264 # 4 |c ©1983 
300 # # |a xi, 471 pages  |b illustrations  |c 24 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references (p. [450]-451) and index. 
520 # # |a Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge of statistics or otherwise do not know how to apply it to research and development problems. The first edition of Statistics in Research and Development was written for these people. The second edition brings the book up-to-date. The text is divided into two parts; the first introduces basic but very important statistical techniques whilst the second part presents the modern powerful methods of data analysis that are particularly useful in modern research and development. Problems are provided at the end of each chapter with worked solutions provided at the end of the book. A problem-centered approach is used throughout and care has been taken to choose problems with which the scientist or technologist can identify. The results of the statistical analyses are reinterpreted into the language of the scientist. Mathematics is kept to a minimum and the assumptions underlying each technique are clearly explained. All the techniques introduced are powerful and proven, and commercial computer programs are available for many of them. 
650 # 0 |a Statistics 
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