عنوان

Design of Experiments in Nonlinear Model

شابک

9781461463634

کد کشور

IR

شماره

EN-50072

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

کشور محل نشر

IR

عنوان اصلي

Design of Experiments in Nonlinear Model

نام عام مواد

[Book]

ساير اطلاعات عنواني

:Asymptotic Normality, Optimality Criteria and Small-Sample Properties

نام نخستين پديدآور

/ by Luc Pronzato, Andrej P??zman

محل نشرو پخش و غیره

New York, NY

نام ناشر، پخش کننده و غيره

: Springer New York :Imprint: Springer,

تاریخ نشرو بخش و غیره

, 2013.

نام خاص و کميت اثر

XV, 399 p. 56 illus., 37 illus. in color., online resource.

عنوان فروست

(Lecture Notes in Statistics,0930-0325

مشخصه جلد

; 212)

متن يادداشت

Print

متن يادداشت

Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties provides a comprehensivecoverage of the various aspects of experimental design for nonlinear models. The book contains original contributions to the theory of optimal experiments that will interest students and researchers in the field. Practitionners motivated by applications will find valuable tools to help them designing their experiments. The first three chapters expose theconnections between the asymptotic properties of estimators in parametric models and experimental design, with more emphasis than usual on some particular aspects like the estimation of a nonlinear function of the model parameters, models with heteroscedastic errors, etc. Classical optimality criteriabased on those asymptotic properties are then presented thoroughly in a special chapter. Three chapters are dedicated to specificissues raised by nonlinear models. The construction of designcriteria derived from non-asymptotic considerations (small-sample situation) is detailed. The connection between design and identifiability/estimability issues is investigated. Several approaches are presented to face the problem caused by the dependence of an optimal design on the value of the parameters to be estimated. A survey of algorithmic methods for the construction of optimal designs is provided.

متن يادداشت

Introduction -- Asymptotic designs and uniform convergence. Asymptotic properties of the LS estimator -- Asymptotic properties of M, ML and maximum a posteriori estimators -- Local optimality criteria based on asymptotic normality -- Criteria based on the small-sample precision of the LS estimator -- Identifiability, estimability and extended optimality criteria -- Nonlocal optimum design -- Algorithms-a survey -- Subdifferentials and subgradients -- Computation of derivatives through sensitivity functions -- Proofs -- Symbols and notation -- List of labeled assumptions -- References.?╗╣

عنوان

Lecture Notes in Statistics,0930-0325

شماره جلد

212

موضوع مستند نشده

Statistics

موضوع مستند نشده

Electronic books

شماره رده

مستند نام اشخاص تاييد نشده

Pronzato, Luc.

مستند نام اشخاص تاييد نشده

P??zman, Andrej

مستند نام اشخاص تاييد نشده

SpringerLink (Online service)

کشور

ایران

نام ميزبان

9781461463627.pdf

شماره دسترسي

عادی

اطلاعات مختصر

عادی

تاريخ و ساعت مذاکره و دسترسي

9781461463627.pdf

نوع فرمت الکترونيکي

متن

وضعیت فهرست نویسی

old catalog

فرمت انتشار

p

نوع ماده

BL

پیشوند ISBD اعمال شده است

1

سطح دسترسي

a

تكميل شده

Y