0387964606

An Introduction to Probabilistic Modeling

Author:

Pierre Bremaud

Pub Date:

1994

Publisher:

Springer-Verlag

Media:

Book

ISBN:

0-387-96460-6

Recommendation:

highly recommended(40)

Catigory:

math(126):statistics(35):modeling(1)

Keywords:

probability(3)

Related Keywords:

math(126) modeling(1) probability(3) statistics(35)

Find It:

@amazon

Annotation:

This wonderful little book is a great introduction to the topic of probabilistic modeling that may be approached by even undergraduates with a very poor background in statistics. This work is a very easy introduction that is quite readable and can be highly recommended to anyone who needs to understand the ideas and power of modeling. I often recommend this work to clients.

Remote Keywords:

algebra(22) algebraic(3) analysis(23) anova(1) applied(2) automata(1) bayes(1) bootstrap(1) calculus(2) cas(2) categorical(1) chaos(7) cluster(1) codes(2) combinatorial(3) commutative(6) complex(5) compress(1) computational(7) computational_geometry(4) computer(2) computing(2) correlation(1) cryptography(4) cs(61) data_anyl(1) de(6) differentiable(1) differential(1) differential_forms(1) discriminant(1) dynamics(7) ecc(1) eda(1) factor(1) forms(1) fractal(3) functional(1) games(1) general(2) geometry(2) glm(1) gmres(1) graphics(5) group(5) handbook(2) history(4) infinite_series(1) info(11) iterative(3) latex(2) layperson(3) linear(2) linear_algebra(9) manifolds(2) math(126) matrix_analysis(1) measure(1) methods(1) model(2) modeling(1) nonlinear(4) nonparametric(3) num_anyl(21) num_theory(4) ode(5) optimization(3) pde(2) performance(2) permutation_test(1) physics(1) polynomials(6) practice(8) prime(1) probability(3) programming(29) qualitative(1) queue(2) r(1) random(1) rank(1) real(8) regression(5) resample(2) s(1) s-plus(1) scaling(1) security(5) simulation(1) smoothing(1) statistics(35) tex(1) time_series(3) topology(6) typesetting(1) variance(1)