Understanding Probability: Chance Rules in Everyday LifeCambridge University Press, 16 d’ag. 2004 - 380 pàgines Mastering the concepts of probability can cast new light on situations in which randomness and chance appear to rule. With an emphasis on why probability works and how it can be applied, Henk Tijms introduces the reader to the world of probability in an informal way. Lotteries and casino games provide a natural source of motivation, and he carefully discusses these with many worked examples to illustrate the key concepts from probability theory. Henk Tijms has been a professor in Operations Research at the Vrije University in Amsterdam since 1976. He is the author of several textbooks, including A First Course in Stochastic Models (Wiley, 2003), as well as numerous papers on applied probability and stochastic optimization in international journals including Applied Probability and Probability in the Engineering and Informational Sciences and others. |
Continguts
IV | 11 |
V | 18 |
VI | 20 |
VII | 28 |
VIII | 34 |
IX | 38 |
X | 42 |
XI | 45 |
XLII | 213 |
XLIII | 218 |
XLIV | 223 |
XLV | 227 |
XLVI | 229 |
XLVII | 233 |
XLVIII | 237 |
XLIX | 244 |
XII | 47 |
XIII | 52 |
XIV | 57 |
XV | 63 |
XVI | 75 |
XVII | 76 |
XVIII | 83 |
XIX | 85 |
XX | 89 |
XXI | 93 |
XXII | 96 |
XXIII | 99 |
XXIV | 108 |
XXV | 109 |
XXVI | 113 |
XXVII | 129 |
XXVIII | 138 |
XXIX | 149 |
XXX | 151 |
XXXI | 157 |
XXXII | 166 |
XXXIII | 168 |
XXXIV | 171 |
XXXV | 173 |
XXXVI | 176 |
XXXVII | 184 |
XXXVIII | 196 |
XXXIX | 200 |
XL | 204 |
XLI | 212 |
Altres edicions - Mostra-ho tot
Understanding Probability: Chance Rules in Everyday Life Henk Tijms Previsualització no disponible - 2004 |
Understanding Probability: Chance Rules in Everyday Life Henk Tijms Previsualització no disponible - 2007 |
Frases i termes més freqüents
applications assigned assume average axioms balls bankroll bets birthday problem calculate the probability cards casino central limit theorem chance tree Chapter choose chosen computer simulation conditional probabilities confidence interval continuous random variable defined denote density function f(x dice discrete random variables distributed random variable distribution with expected door drunkard drunkard's walk equal estimate event example expected value fair coin follows formula given gives house percentage independent random variables integers jackpot joint probability large numbers law of conditional law of large lottery Lotto mathematical moment-generating function normal distribution occurs payoff permutation player Poisson distribution Poisson process prize probability density function probability distribution probability measure probability theory random number random walk randomly rate of return real numbers result rolls roulette rule sample space Section sequence six numbers standard deviation standard normal statistics tickets tosses total number variance verify winners X₁
Passatges populars
Pàgina 4 - The theory of probabilities is at bottom nothing but common sense reduced to calculus; it enables us to appreciate with exactness that which accurate minds feel with a sort of instinct for which ofttimes they are unable to account.
Referències a aquest llibre
Value Added by Venture Capital Firms: An Analysis on the Basis of New ... Jens Ortgiese Previsualització limitada - 2007 |