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Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - Nguyen, Hung T. Rogers, Gerald S.
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Nguyen, Hung T. Rogers, Gerald S.:

Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - encadernada, livro de bolso

1989, ISBN: 9780387970141

Springer, Gebundene Ausgabe, Auflage: 1989, 442 Seiten, Publiziert: 1989-07-25T00:00:01Z, Produktgruppe: Buch, 1.78 kg, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Kategorien, … mais…

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Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - Nguyen, Hung T. Rogers, Gerald S.
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Nguyen, Hung T. Rogers, Gerald S.:

Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - encadernada, livro de bolso

1989, ISBN: 9780387970141

Springer, Gebundene Ausgabe, Auflage: 1989, 442 Seiten, Publiziert: 1989-07-25T00:00:01Z, Produktgruppe: Buch, 1.78 kg, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Kategorien, … mais…

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Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - Nguyen, Hung T. Rogers, Gerald S.
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Nguyen, Hung T. Rogers, Gerald S.:
Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - encadernada, livro de bolso

1989

ISBN: 9780387970141

Springer, Gebundene Ausgabe, Auflage: 1989, 442 Seiten, Publiziert: 1989-07-25T00:00:01Z, Produktgruppe: Buch, 1.78 kg, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Kategorien, … mais…

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Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - Nguyen, Hung T. Rogers, Gerald S.
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Nguyen, Hung T. Rogers, Gerald S.:
Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - encadernada, livro de bolso

1989, ISBN: 9780387970141

Springer, Gebundene Ausgabe, Auflage: 1989, 442 Seiten, Publiziert: 1989-07-25T00:00:01Z, Produktgruppe: Buch, 3.92 kg, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Kategorien, … mais…

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Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - Nguyen, Hung T. Rogers, Gerald S.
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Nguyen, Hung T. Rogers, Gerald S.:
Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics) - encadernada, livro de bolso

1989, ISBN: 9780387970141

Springer, Gebundene Ausgabe, Auflage: 1989, 442 Seiten, Publiziert: 1989-07-25T00:00:01Z, Produktgruppe: Buch, 3.92 kg, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Kategorien, … mais…

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Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics)
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9780387970141


This is the first half of a set of lecture notes with exercises - a text - for two semester course in mathematical statistics at the senior/graduate level for those who need a strong background in statistics as an essential tool in their career. To study this text, the reader needs a thorough familiarity with calculus including such things as Jacobians and series but somewhat less intense familiarity with matrices including quadratic forms and eigenvalues. For convenience, these lecture notes were divided into two parts: Volume I, Probability for Statistics, for the first semester, and Volume II, Statistical Inference, for the second.

Dados detalhados do livro - Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics)


EAN (ISBN-13): 9780387970141
ISBN (ISBN-10): 0387970142
Livro de capa dura
Livro de bolso
Ano de publicação: 1989
Editor/Editora: Springer
448 Páginas
Peso: 0,830 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-11-12T14:29:13-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-02-29T07:35:57-03:00 (Sao Paulo)
Número ISBN/EAN: 9780387970141

Número ISBN - Ortografia alternativa:
0-387-97014-2, 978-0-387-97014-1
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: nguyen, hung, rogers
Título do livro: fundamental probability, fundamentals mathematical statistics, mathematica statistics, mathematical statistics volume, springer texts

Dados da editora

Autor: Hung T. Nguyen; Gerald S. Rogers
Título: Springer Texts in Statistics; Fundamentals of Mathematical Statistics - Probability for Statistics
Editora: Springer; Springer US
432 Páginas
Ano de publicação: 1989-07-25
New York; NY; US
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
X, 432 p.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Binomial distribution; Measure; Normal distribution; Poisson distribution; Probability space; Probability theory; Random variable; mathematical statistics; Probability Theory; Statistics; Stochastik; BC

I:Elementary Probability and Statistics.- 1 Relative frequency.- 2 Sample spaces.- * 3 Some rules about sets (see footnote).- 4 The counting function for finite sets.- 5 Probability on finite sample spaces.- * 6 Ordered selections.- * 7 Unordered selections.- 8 Some uniform probability spaces.- 9 Conditional probability/independence.- * 10 Bayes’ rule.- 11 Random variables.- 12 Expectation.- 13 A hypergeometric distribution.- * 14 Sampling and simulation.- 15 Testing simple hypotheses.- * 16 An acceptance sampling plan.- 17 The binomial distribution.- * 18 Matching and catching.- 19 Confidence intervals for a Bernoulli ?.- 20 The Poisson distribution.- * 21 The negative binomial distribution.- II:Probability and Expectation.- 1 Some set theory.- 2 Basic probability theory.- 3 The cumulative distribution function.- 4 Some continuous CDFs.- 5 The normal distribution.- 6 Some algebra of random variables.- 7 Convergence of sequences of random variables.- 8 Convergence almost surely and in probability.- 9 Integration-I.- * 10 Integration-II.- 11 Theorems for expectation.- 12 Stieltjes integrals.- 13 Product measures and integrals.- III:Limiting Distributions.- 1 Joint distributions: discrete.- 2 Conditional distributions: discrete.- 3 Joint distributions: continuous.- 4 Conditional distributions: continuous.- 5 Expectation: examples.- 6 Convergence in mean, in distribution.- * 7 Other relations in modes of convergence.- 8 Laws of large numbers.- 9 Convergence of sequences of distribution functions.- 10 Convergence of sequences of integrals.- 11 On the sum of random variables.- 12 Characteristic functions-I.- 13 Characteristic functions-II.- 14 Convergence of sequences of characteristic functions.- 15 Central limit theorems.- References.
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