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Asymptotic Theory of Nonlinear Regression / by Alexander V. Ivanov
(Mathematics and Its Applications ; 389)

データ種別 電子ブック
出版者 Dordrecht : Springer Netherlands : Imprint: Springer
出版年 1997
本文言語 英語
大きさ VI, 330 p : online resource

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URL 電子ブック


EB0108623

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内容注記 1 Consistency
2 Approximation by a Normal Distribution
3 Asymptotic Expansions Related to the Least Squares Estimator
4 Geometric Properties of Asymptotic Expansions
I Subsidiary Facts
II List of Principal Notations
Commentary
1
2
3
4
一般注記 Let us assume that an observation Xi is a random variable (r.v.) with values in 1 1 (1R1 , 8 ) and distribution Pi (1R1 is the real line, and 8 is the cr-algebra of its Borel subsets). Let us also assume that the unknown distribution Pi belongs to a 1 certain parametric family {Pi() , () E e}. We call the triple £i = {1R1 , 8 , Pi(), () E e} a statistical experiment generated by the observation Xi. n We shall say that a statistical experiment £n = {lRn, 8 , P; ,() E e} is the product of the statistical experiments £i, i = 1, ... ,n if PO' = P () X ... X P () (IRn 1 n n is the n-dimensional Euclidean space, and 8 is the cr-algebra of its Borel subsets). In this manner the experiment £n is generated by n independent observations X = (X1, ... ,Xn). In this book we study the statistical experiments £n generated by observations of the form j = 1, ... ,n. (0.1) Xj = g(j, (}) + cj, c c In (0.1) g(j, (}) is a non-random function defined on e , where e is the closure in IRq of the open set e ~ IRq, and C j are independent r. v .-s with common distribution function (dJ.) P not depending on ()
著者標目 *Ivanov, Alexander V. author
SpringerLink (Online service)
件 名 LCSH:Statistics
LCSH:Applied mathematics
LCSH:Engineering mathematics
LCSH:System theory
LCSH:Mathematical models
LCSH:Probabilities
FREE:Statistics
FREE:Statistics, general
FREE:Probability Theory and Stochastic Processes
FREE:Applications of Mathematics
FREE:Mathematical Modeling and Industrial Mathematics
FREE:Systems Theory, Control
分 類 DC23:519.5
巻冊次 ISBN:9789401588775 REFWLINK
ISBN 9789401588775
URL http://dx.doi.org/10.1007/978-94-015-8877-5
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