Buch, Englisch, 344 Seiten, Format (B × H): 178 mm x 257 mm, Gewicht: 599 g
Buch, Englisch, 344 Seiten, Format (B × H): 178 mm x 257 mm, Gewicht: 599 g
Reihe: Chapman & Hall/CRC Texts in Statistical Science
ISBN: 978-1-4987-0419-9
Verlag: CRC Press
After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic.
This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.
Autoren/Hrsg.
Weitere Infos & Material
Introduction. Size Matters. The Elements of Probability Theory. Random Variables and Vectors. Integration and Expectation. Modes of Convergence. Laws of Large Numbers. Central Limit Theorems. More on Convergence in Distribution. Conditional Probability and Expectation. Applications. Appendices. Index.