MOMENTAN AUSVERKAUFT
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Product Identifiers
PublisherBrooks/Cole
ISBN-100534237908
ISBN-139780534237905
eBay Product ID (ePID)171791
Product Key Features
Number of Pages400 Pages
Publication NameIntroduction to Probability and Its Applications
LanguageEnglish
Publication Year1994
SubjectProbability & Statistics / General
FeaturesRevised
TypeTextbook
AuthorRichard L. Scheaffer
Subject AreaMathematics
FormatHardcover
Dimensions
Item Height0.8 in
Item Weight27.3 Oz
Item Length9.3 in
Item Width7.5 in
Additional Product Features
Edition Number2
Intended AudienceCollege Audience
LCCN94-038064
Dewey Edition22
IllustratedYes
Dewey Decimal519.2
Table Of Content1. PROBABILITY AND THE WORLD AROUND USWhy Study Probability / Deterministic and Probabilistic Models / Applications of Probability / A Brief Historical Note / A Look Ahead2. PROBABILITYUnderstanding Randomness: An Intuitive Notion of Probability / A Brief Review of Set Notation / Definition of Probability / Counting Rules Useful in Probability / Conditional Probability and Independence / Rules of Probability / Odds, Odds Ratios, and Relative Risk / Activities for Students: Simulation / Summary / Supplementary Exercises3. DISCRETE PROBABILITY DISTRIBUTIONSRandom Variables and Their Probability Distributions / Expected Values of Random Variables / The Bernoulli Distributions / The Binomial Distribution / The Geometric Distribution / The Negative Binomial Distribution / The Poisson Distribution / The Hypergeometric Distribution / The Moment-generating Functions / The Probability-generating Function / Markov Chains / Activities for Students: Simulation / Summary / Supplementary Exercises4. CONTINUOUS PROBABILITY DISTRIBUTIONSContinuous Random Variables and Their Probability Distributions / Expected Values of Continuous Random Variables / The Uniform Distribution / The Exponential Distribution / The Gamma Distribution / The Normal Distribution / The Beta Distribution / The Weibull Distribution / Reliability / Moment-generating Functions for Continuous Random Variables / Expectations of Discontinuous Functions and Mixed Probability Distributions / Activities for Students: Simulation / Summary / Supplementary Exercises5. MULTIVARIATE PROBABILITY DISTRIBUTIONSBivariate and Marginal Probability Distributions / Conditional Probability Distributions / Independent Random Variables / Expected Values of Functions of Random Variables / The Multinomial Distribution / More on the Moment-generating Function / Conditional Expectations / Compounding and its Applications / Summary / Supplementary Exercises6. FUNCTIONS OF RANDOM VARIABLESIntroduction / Method of Distribution Functions / Method of Transformations / Method of Conditioning / Method of Moment-generating Functions / Order Statistics / Probability-generating Functions: Applications to Random Sums of Random Variables / Summary / Supplementary Exercises7. SOME APPROXIMATIONS TO PROBABILITY DISTRIBUTIONS: LIMIT THEOREMSIntroduction / Convergence in Probability / Convergence in Distribution / The Central Limit Theorem / Combination of Convergence in Probability and Convergence in Distribution / Summary / Supplementary Exercises8. EXTENDED APPLICATIONS OF PROBABILITYThe Poisson Process / Birth and Death Processes: Biological Applications / Queues: Engineering Applications / Arrival Times for the Poisson Process / Infinite Server Queue / Renewal Theory: Reliability Applications / Summary / Exercises / APPENDIX TABLES / NOTES ON COMPUTER SIMULATIONS / REFERENCES / ANSWERS TO SELECTED EXERCISES / INDEX
Edition DescriptionRevised edition
SynopsisIn this calculus-based text, theory is developed to a practical degree around models used in real-world applications. Proofs of theorems and "tricky" probability calculations are minimized. Computing and simulation are introduced to make more difficult problems accessible (although the material does not depend on the computer for continuity).
LC Classification NumberQA273.S357 1995
