The Probability Lifesaver (eBook)

All the Tools You Need to Understand Chance

Steven J. Miller (Autor)

eBook Download: PDF

2017
752 Seiten
Princeton University Press (Verlag)
978-1-4008-8538-1 (ISBN)

Infos

Steven J. Miller is associate professor of mathematics at Williams College. He is the coauthor of An Invitation to Modern Number Theory (Princeton) and The Mathematics of Encryption: An Elementary Introduction and the editor of Benford's Law: Theory and Applications (Princeton).

Produkt-Details

• Erscheint lt. Verlag: 16.5.2017
• Reihe/Serie: Princeton Lifesaver Study Guides
• Reihe/Serie: Princeton Lifesaver Study Guides
• Zusatzinfo: 8 color illus. 64 line illus. 21 tables.
• Verlagsort: Princeton
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Sozialwissenschaften ► Pädagogik
• Schlagworte: Accuracy and precision • Almost surely • Analytic proof • Antiderivative • Arbitrarily large • Benford's Law • Bernoulli trial • Berry–Esseen theorem • Binomial Distribution • birthday problem • Calculation • Cantor's Diagonal Argument • central limit theorem • chaos theory • Chebyshev's inequality • chi-squared distribution • Chi-squared test • commutative property • Continuum Hypothesis • Convergence of random variables • convolution • counterexample • Counting • Cumulative distribution function • Discrete Mathematics • Disjoint union • Divisibility rule • Dominated convergence theorem • Double counting (proof technique) • Dummy variable (statistics) • Exact test • expected value • Extended real number line • Fair coin • False positive rate • Fibonacci Number • Floor and ceiling functions • Free parameter • gamma function • geometric distribution • greedy algorithm • Inclusion–exclusion principle • inference • Infimum and supremum • Joint probability distribution • law of large numbers • logarithm • lucky number • Markov process • Markov's inequality • Mathematical Induction • Maxima and minima • Moment-generating function • Monte Carlo Method • Multinomial distribution • Mutual exclusivity • negative binomial distribution • New Math • Normal distribution • null hypothesis • One-Tailed Test • optimization problem • Order of integration (calculus) • order of operations • pigeonhole principle • Poisson distribution • prime factor • Prime number • Probability • Probability Distribution • Probability-generating function • p-value • Random element • random number generation • random sequence • Random Variable • Rate of Convergence • ratio test • Root test • Russell's paradox • scientific notation • Series expansion • Significant figures • Sign (mathematics) • Simultaneous Equations • Special case • Stable distribution • standard deviation • Student's t-test • Summation • test statistic • travelling salesman problem • Type I and type II errors • Uniform distribution (discrete) • Variable (mathematics) • Variance • Weighted arithmetic mean • With high probability • Wrong direction • Z-Test
• ISBN-10: 1-4008-8538-8 / 1400885388
• ISBN-13: 978-1-4008-8538-1 / 9781400885381