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Probability (Springer Texts in Statistics) - Pitman, Jim
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Pitman, Jim:

Probability (Springer Texts in Statistics) - encadernada, livro de bolso

1993, ISBN: 9780387979748

Springer, Hardcover, Auflage: Springer Texts in Statistics, 571 Seiten, Publiziert: 1993-05-12T00:00:01Z, Produktgruppe: Book, 1.33 kg, Verkaufsrang: 453327, Probability & Statistics, App… mais…

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Jim Pitman:

Probability (Springer Texts in Statistics) - encadernada, livro de bolso

ISBN: 9780387979748

Springer. Hardcover. GOOD. Spine creases, wear to binding and pages from reading. May contain limited notes, underlining or highlighting that does affect the text. Possible ex library c… mais…

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Pitman, Jim:
Probability (Springer Texts in Statistics) [Hardcover] Pitman, Jim - encadernada, livro de bolso

1993

ISBN: 9780387979748

Springer, 1993-05-12. Hardcover. Good. 9x8x1. clean used copy, some markings on the pages, no stains or stickers, fast shipping with tracking number., Springer, 1993-05-12, 2.5

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Pitman, Jim:
Probability (Springer Texts in Statistics) - encadernada, livro de bolso

1993, ISBN: 0387979743

[EAN: 9780387979748], Gebraucht, sehr guter Zustand, [PU: Springer], Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc., Books

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Pitman, Jim:
Probability (Springer Texts in Statistics) - livro usado

ISBN: 9780387979748

Springer. Used - Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc..., Springer, 2.5

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Probability (Springer Texts in Statistics)
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Número ISBN:

0387979743


This is a text for a one-quarter or one-semester course in probability, aimed at students who have done a year of calculus. The book is organised so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail.

The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theorems and proofs. So the emphasis is on problem solving rather than theory.

Dados detalhados do livro - Probability (Springer Texts in Statistics)


EAN (ISBN-13): 9780387979748
ISBN (ISBN-10): 0387979743
Livro de capa dura
Livro de bolso
Ano de publicação: 1993
Editor/Editora: Springer

Livro na base de dados desde 2007-07-06T01:51:53-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2022-12-26T11:50:38-03:00 (Sao Paulo)
Número ISBN/EAN: 0387979743

Número ISBN - Ortografia alternativa:
0-387-97974-3, 978-0-387-97974-8
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: pitman, jim, breiman
Título do livro: probability statistics, probability course, springer texts

Dados da editora

Autor: Jim Pitman
Título: Springer Texts in Statistics; Probability
Editora: Springer; Springer US
560 Páginas
Ano de publicação: 1993-05-12
New York; NY; US
Língua: Inglês
80,24 € (DE)
82,49 € (AT)
88,50 CHF (CH)
Available
XI, 560 p.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Binomial distribution; Conditional probability; Poisson distribution; Random variable; Variance; correlation; standard deviation; Probability Theory; Statistical Theory and Methods; Stochastik; BC; EA; BA

1 Introduction.- 1.1 Equally Likely Outcomes.- 1.2 Interpretations.- 1.3 Distributions.- 1.4 Conditional Probability and Independence.- 1.5 Bayes’ Rule.- 1.6 Sequences of Events.- Summary.- Review Exercises.- 2 Repeated Trials and Sampling.- 2.1 The Binomial Distribution.- 2.2 Normal Approximation: Method.- 2.3 Normal Approximation: Derivation (Optional).- 2.4 Poisson Approximation.- 2.5 Random Sampling.- Summary.- Review Exercises.- 3 Random Variables.- 3.1 Introduction.- 3.2 Expectation.- 3.3 Standard Deviation and Normal Approximation.- 3.4 Discrete Distributions.- 3.5 The Poisson Distribution.- 3.6 Symmetry (Optional).- Summary.- Review Exercises.- 4 Continuous Distributions.- 4.1 Probability Densities.- 4.2 Exponential and Gamma Distributions.- 4.3 Hazard Rates (Optional).- 4.4 Change of Variable.- 4.5 Cumulative Distribution Functions.- 4.6 Order Statistics (Optional).- Summary.- Review Exercises.- 5 Continuous Joint Distributions.- 5.1 Uniform Distributions.- 5.2 Densities.- 5.3Independent Normal Variables.- 5.4 Operations (Optional).- Summary.- Review Exercises.- 6 Dependence.- 6.1 Conditional Distributions: Discrete Case.- 6.2 Conditional Expectation: Discrete Case.- 6.3 Conditioning: Density Case.- 6.4 Covariance and Correlation.- 6.5 Bivariate Normal.- Summary.- Review Exercises.- Distribution Summaries.- Discrete.- Continuous.- Beta.- Binomial.- Exponential.- Gamma.- Geometric and Negative Binomial.- Hypergeometrie.- Normal.- Poisson.- Uniform.- Examinations.- Solutions to Examinations.- Appendices.- 1 Counting.- 2 Sums.- 3 Calculus.- 4 Exponents and Logarithms.- 5 Normal Table.- Brief Solutions to Odd-Numbered Exercises.
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