Introduction to Probability

Livro digital

Título:
Introduction to Probability

Autor:
Charles M. Grinstead, J. Laurie Snell

Categoria:
Matemática & Lógica > Probabilidade e Estatística

Pessoa doadora:
Raffaello D. N.

Sinopse:
If you want a probability text that starts with discrete models and steadily builds toward Markov chains and random walks, this one is built exactly that way. Its table of contents moves from simulation and discrete probability distributions to continuous densities, then into combinatorics, conditional probability, and the core tools of expected value and variance. The later chapters widen the scope in a very deliberate sequence: sums of random variables, the law of large numbers, the central limit theorem, generating functions, Markov chains, and finally random walks, including gambler’s ruin and arc sine laws. That structure makes the book feel both elementary and mathematically serious, with the discrete and continuous treatments developed in parallel rather than as disconnected topics. It is a strong fit for readers who need a broad, rigorous foundation in probability for mathematics, science, engineering, or computer science. The text’s value is its balance of intuition, computation, and theorem-driven development, with enough depth to support a full introductory course and enough breadth to remain useful as a reference afterward.