Introduction to probability theory and statistical inference / Harold J. Larson
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Item type | Current library | Home library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode |
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LRC - Annex | National University - Manila | Secondary Education - Mathematics | Relegation Room | GC QA 273 .L37 1974 (Browse shelf (Opens below)) | c.1 | Available | NULIB000005003 |
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GC QA 237 .H67 1979 Introduction to automata theory, languages, and computation / | GC QA 262 .S39 1961 Introduction to matrices and vectors / | GC QA 273 .E27 1963 Introduction to probability : a programmed unit in modern mathematics / | GC QA 273 .L37 1974 Introduction to probability theory and statistical inference / | GC QA 273 .M35 1971 c.1 Probability, statistics and random processes / | GC QA 273 .M35 1971 c.2 Probability, statistics and random processes / | GC QA 276 .12 .W58 1989 Statistics / |
Includes bibliographical references.
1. Set theory -- 2. Probability -- 3. Random variables and distribution functions -- 4. Some standard distributions -- 5. Jointly distributed random variables -- 6. Sampling and statistics -- 7. Statistical inference: estimation -- 8. Statistical inference: tests of hypothesis -- 9. Bayesian methods -- 10. Least squares and regression theory.
This second edition is, a considerable improvement over the first. The spirit of the first edition has been maintained, to give the student a more rigorous, but no more difficult, introduction to the commonly applied techniques of probability theory and statistical inference.
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