Author: | Robert R. Sokal &apm; F. James Rohlf |
Release at: | 1995 |
Pages: | 899 |
Edition: | 3rd Edition (The Principles and Practice of Statistics in Biological Research) |
File Size: | 12 MB |
File Type: | |
Language: | English |
Description of Biometry: The Principles and Practice of Statistics in Biological Research 3rd Edition (PDF)
Biometry: The Principles and Practice of Statistics in Biological Research 3rd Edition by Robert R. Sokal & F. James Rohlf is a great book available in (eBook) PDF download. The success of the first two editions of Biometry among teachers, students, and others who use biological statistics has encouraged us to prepare this extensively revised 3rd Edition. We wrote and have revised this book because we feel that there is a need for an up-to-date text aimed primarily at the academic biologist—a text that develops the subject from an elementary introduction up to the advanced methods necessary nowadays for biological research and for an understanding of the published literature. Many available texts represent the outlook and interests of agricultural experiment stations. This is quite proper in view of the great application of statistics in this field; in fact, modem statistics originated at such institutions.
However, personal inclination and the nature of the institution at which we teach cause us to address ourselves to general biologists, ecologists, geneticists, physiologists, and other biologists working largely on nonapplied subjects in universities, research institutes, and museums. Considerable overlap exists between the needs of these two somewhat artificially contrasted groups and, of necessity, some of our presentation will deal with agricultural experimentation. More broadly, the statistical methods treated here are useful in many applied fields, including medicine and allied health sciences. Since it is a well-known pedagogical dictum that people learn best by familiar examples, we have endeavored to make our examples as pertinent as possible for our readers.
Much agricultural and biological work is by its very nature experimental. This book, while furnishing ample directions for the analysis of experimental work, also stresses descriptive and analytical statistical study of biological phenomena. These powerful methods are often overlooked and sometimes, by implication, the validity of nonexperimental biological work is put in doubt. We think that descriptive, analytical, and experimental approaches are all of value, and we have tried to strike a balance among them. This approach will be appreciated by workers in applied fields such as the health sciences where ethical, financial, or other considerations may prevent free use of direct experiment.
Content of Biometry: The Principles and Practice of Statistics in Biological Research 3rd Edition (PDF)
Chapter 1: INTRODUCTION
Chapter 2: DATA IN BIOLOGY
Chapter 3: THE HANDLING OF DATA
Chapter 4: DESCRIPTIVE STATISTICS
Chapter 5: INTRODUCTION TO PROBABILITY DISTRIBUTIONS: BINOMIAL AND POISSON
Chapter 6: THE NORMAL PROBABILITY DISTRIBUTION
Chapter 7: ESTIMATION AND HYPOTHESIS TESTING
Chapter 8: INTRODUCTION TO THE ANALYSIS OF VARIANCE
Chapter 9: SINGLE-CLASSIFICATION ANALYSIS OF VARIANCE
Chapter 10: NESTED ANALYSIS OF VARIANCE
Chapter 11: TWO-WAY ANALYSIS OF VARIANCE
Chapter 12: MULTIWAY ANALYSIS OF VARIANCE
Chapter 13: ASSUMPTIONS OF ANALYSIS OF VARIANCE
Chapter 14: LINEAR REGRESSION
Chapter 15: CORRELATION
Chapter 16: MULTIPLE AND CURVILINEAR REGRESSION
Chapter 17: ANALYSIS OF FREQUENCIES
Chapter 18: MISCELLANEOUS METHODS
APPENDIX: MATHEMATICAL PROOFS
BIBLIOGRAPHY
INDEX
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