Introduction to Probability with Statistical Applications
Schay, Géza.
creator
author.
SpringerLink (Online service)
text
xxu
2007
monographic
eng
access
X, 318 p. 44 illus. online resource.
This textbook is an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical depth provided in more comprehensive treatments of the subject. The presentation covers the mathematical laws of random phenomena, including discrete and continuous random variables, expectation and variance, and common probability distributions such as the binomial, Poisson, and normal distributions. Main statistical concepts considered are point and interval estimates, hypothesis testing, power function, various statistical tests: z, t, chi-square and Kolmogorov-Smirnov. Key features: * Presents rigorous discussion, with definitions, theorems, and proofs, but aimed at a non-specialist audience; *Avoids linear algebra; * Treats informally the few unavoidable concepts from multivariable calculus, such as double integrals; * Motivates new concepts throughout using examples and brief conceptual discussions; * Develops basic ideas with clear definitions, carefully designed notation and techniques of statistical analysis, along with well-chosen examples, exercises and applications. The book contains enough material for two semesters but, with judicious selection, it can also be used for a one-semester course, either in probability and statistics or in probability alone. .Advanced undergraduate and graduate students in computer science, engineering, and other natural and social sciences with only a basic background in calculus will benefit from this introductory text balancing theory with applications.
The Algebra of Events -- Combinatorial Problems -- Probabilities -- Random Variables -- Expectation, Variance, Moments -- Some Special Distributions -- The Elements of Mathematical Statisti.
by Géza Schay.
Mathematics
Mathematical statistics
Measure theory
Applied mathematics
Engineering mathematics
Probabilities
Statistics
Mathematics
Probability Theory and Stochastic Processes
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Probability and Statistics in Computer Science
Measure and Integration
Applications of Mathematics
QA273.A1-274.9
QA274-274.9
519.2
Springer eBooks
9780817645915
http://dx.doi.org/10.1007/978-0-8176-4591-5
http://dx.doi.org/10.1007/978-0-8176-4591-5
100301
20180115171436.0
978-0-8176-4591-5