TY - BOOK
AU - Schay,Géza
ED - SpringerLink (Online service)
TI - Introduction to Probability with Statistical Applications
SN - 9780817645915
AV - QA273.A1-274.9
U1 - 519.2 23
PY - 2007///
CY - Boston, MA
PB - Birkhäuser Boston
KW - Mathematics
KW - Mathematical statistics
KW - Measure theory
KW - Applied mathematics
KW - Engineering mathematics
KW - Probabilities
KW - Statistics
KW - Probability Theory and Stochastic Processes
KW - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW - Probability and Statistics in Computer Science
KW - Measure and Integration
KW - Applications of Mathematics
N1 - The Algebra of Events -- Combinatorial Problems -- Probabilities -- Random Variables -- Expectation, Variance, Moments -- Some Special Distributions -- The Elements of Mathematical Statisti
N2 - 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
UR - http://dx.doi.org/10.1007/978-0-8176-4591-5
ER -