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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) - hardcover

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, … More...

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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) - hardcover

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, … More...

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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) - hardcover

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, … More...

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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) - hardcover

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, … More...

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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) - hardcover

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, … More...

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

0387970142


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.

Details of the book - Fundamentals of Mathematical Statistics: Probability for Statistics (Springer Texts in Statistics)


EAN (ISBN-13): 9780387970141
ISBN (ISBN-10): 0387970142
Hardcover
Paperback
Publishing year: 1989
Publisher: Springer
448 Pages
Weight: 0,830 kg
Language: eng/Englisch

Book in our database since 2007-11-12T16:29:13+00:00 (London)
Detail page last modified on 2024-02-29T10:35:57+00:00 (London)
ISBN/EAN: 0387970142

ISBN - alternate spelling:
0-387-97014-2, 978-0-387-97014-1
Alternate spelling and related search-keywords:
Book author: nguyen, hung, rogers
Book title: fundamental probability, fundamentals mathematical statistics, mathematica statistics, mathematical statistics volume, springer texts

Information from Publisher

Author: Hung T. Nguyen; Gerald S. Rogers
Title: Springer Texts in Statistics; Fundamentals of Mathematical Statistics - Probability for Statistics
Publisher: Springer; Springer US
432 Pages
Publishing year: 1989-07-25
New York; NY; US
Language: English
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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