Statistics in Scientific Investigation : Its Basis, Application, and Interpretation / by Glen McPherson
(Springer Texts in Statistics)
データ種別 | 電子ブック |
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出版情報 | New York, NY : Springer New York : Imprint: Springer , 1990 |
本文言語 | 英語 |
大きさ | XXVI, 667 p : online resource |
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内容注記 | 1 The Role of Statistics in Scientific Investigation 2 Data: The Factual Information 3 Statistical Models: The Experimenter’s View 4 Comparing Model and Data 5 Probability: A Fundamental Tool of Statistics 6 Some Widely Used Statistical Models 7 Some Important Statistics and Their Sampling Distributions 8 Statistical Analysis: The Statisticians’ View 9 Examining Proportions and Success Rates 10 Model and Data Checking 11 Questions About the “Average” Value 12 Comparing Two Groups, Treatments or Processes 13 Observational Studies, Surveys and Designed Experiments 14 Comparing More Than Two Treatments or Groups 15 Comparing Mean Response When There Are Three or More Treatments 16 Comparing Patterns of Response: Frequency Tables 17 Studying Association and Correlation 18 Prediction and Estimation: The Role of Explanatory Variables 19 Questions About Variability 20 Cause and Effect: Statistical Perspectives 21 Studying Change in Response over Time 22 Computers and Statistics Appendix A: Tables for Some Common Probability Distributions References Figure, Table, and Example Index |
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一般注記 | In this book I have taken on the challenge of providing an insight into Statistics and a blueprint for statistical application for a wide audience. For students in the sciences and related professional areas and for researchers who may need to apply Statistics in the course of scientific experimenta tion, the development emphasizes the manner in which Statistics fits into the framework of the scientific method. Mathematics students will find a unified, but non-mathematical structure for Statistics which can provide the motivation for the theoretical development found in standard texts on theoretical Statistics. For statisticians and students of Statistics, the ideas contained in the book and their manner of development may aid in the de velopment of better communications between scientists and statisticians. The demands made of readers are twofold: a minimal mathematical prerequisite which is simply an ability to comprehend formulae containing mathematical variables, such as those derived from a high school course in algebra or the equivalent; a grasp of the process of scientific modeling which comes with ei ther experience in scientific experimentation or practice with solving mathematical problems |
著者標目 | *McPherson, Glen author SpringerLink (Online service) |
件 名 | LCSH:Statistics FREE:Statistics FREE:Statistics for Business/Economics/Mathematical Finance/Insurance FREE:Statistics for Life Sciences, Medicine, Health Sciences |
分 類 | DC23:330.015195 |
巻冊次 | ISBN:9781475742909 |
ISBN | 9781475742909 |
URL | http://dx.doi.org/10.1007/978-1-4757-4290-9 |
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