Over 10 mio. titler Fri fragt ved køb over 499,- Hurtig levering 30 dages retur

Introduction to Probability

Bog
  • Format
  • Bog, hardback
  • Engelsk

Beskrivelse

Introduction to Probability, Second Edition, discusses probability theory in a mathematically rigorous, yet accessible way. This one-semester basic probability textbook explains important concepts of probability while providing useful exercises and examples of real world applications for students to consider. This edition demonstrates the applicability of probability to many human activities with examples and illustrations. After introducing fundamental probability concepts, the book proceeds to topics including conditional probability and independence; numerical characteristics of a random variable; special distributions; joint probability density function of two random variables and related quantities; joint moment generating function, covariance and correlation coefficient of two random variables; transformation of random variables; the Weak Law of Large Numbers; the Central Limit Theorem; and statistical inference. Each section provides relevant proofs, followed by exercises and useful hints. Answers to even-numbered exercises are given and detailed answers to all exercises are available to instructors on the book companion site. This book will be of interest to upper level undergraduate students and graduate level students in statistics, mathematics, engineering, computer science, operations research, actuarial science, biological sciences, economics, physics, and some of the social sciences.

Læs hele beskrivelsen
Detaljer
  • SprogEngelsk
  • Sidetal546
  • Udgivelsesdato21-01-2014
  • ISBN139780128000410
  • Forlag Academic Press Inc
  • FormatHardback
Størrelse og vægt
  • Vægt840 g
  • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

    Findes i disse kategorier...

    Se andre, der handler om...

    Integration Mode Distribution Calculus Dispersion Equipment Event Measurements Combinations Chemotherapy Variation Statistics Analysis of variance Union Expectation Standard deviations Poisson distribution Proposition Random error Conditional probability Recursive function Chi Square Landfills Parameters Mathematical induction Linearity Gamma function Multinomial distribution Mean value Random variable Degrees of freedom Pointwise convergence Factorization Median Waiting time Statistical inference Correlation coefficient Variance Standard deviation Monotonicity Viewpoint Moments Inversion formula Partition Lifetime Intersection Inertia Limit Monotone Constants Lifespan Events Estimator Multivariate distribution Probability model Null hypothesis Center of gravity Proportions Summations Sample-Points bivariate Binomial experiment Axiomatic definition Calculus matter bayes formula Criterion of independence Conditional variance Continuous type DeMorgan's Laws Continuity correction Continuity points Classical definition hypergeometric Joint probability distribution Inverse transformation Keywords Permutations Keywords Transformations Moment <mmlmath altimg="si20.gif"><mmlmrow><mmlmi>F</mmlmi></mmlmrow></mmlmath>-distribution <mmlmath altimg="si21.gif"><mmlmrow><mmlmi>T</mmlmi></mmlmrow></mmlmath>-distribution Partial derivatives<!--Query id="Q1" desc="Please check and approve the insertion of keywords." /--> Plausibility arguments Pine seedlings Sample Mean relative frequency Rejection region Sample Space Total Probability Theorem Solid curve Venn Diagram Parameter Space Likelihood Function Linear combination Pairwise Disjoint Posterior Probabilities Probability Density Function Unconditional Probability Random experiment Reparameterization
    Machine Name: SAXO080