1.

Record Nr.

UNINA990008567580403321

Autore

Tavares, Dantiago Alves

Titolo

Generation of multivariate hermite interpolating polynomials / Santiago Alves Tavares

Pubbl/distr/stampa

Boca Raton : Chapman & Hall/CRC, c2007

ISBN

1-58488-572-6

Descrizione fisica

viii, 672 p. ; 24 cm

Collana

Monographs and textbooks in pure and applied mathematics

Disciplina

511.4

Locazione

MA1

Collocazione

C-8-(274

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA990006420180403321

Autore

Goriély, Benjamin

Titolo

Le avanguardie letterarie in Europa / Benjamin Goriély

Pubbl/distr/stampa

Milano : Feltrinelli, 1967

Descrizione fisica

422 p. ; 25 cm

Collana

I fatti e le idee ; 169

Disciplina

809.911

Locazione

BAT

FLFBC

Collocazione

BIB. BAT.1605

809.911 GOR 1

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9910743684103321

Autore

Kutoyants Yury A

Titolo

Introduction to the Statistics of Poisson Processes and Applications / / by Yury A. Kutoyants

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023

ISBN

9783031370540

3031370546

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (683 pages)

Collana

Frontiers in Probability and the Statistical Sciences, , 2624-9995

Disciplina

519.23

Soggetti

Statistics

Nonparametric statistics

Statistical Theory and Methods

Non-parametric Inference

Processos de Poisson

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Poisson Processes -- Parameter Estimation -- Non-parametric Estimation -- Hypothesis Testing -- Applications -- Likelihood ratio and properties of MLE and BE.

Sommario/riassunto

This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems based on the given dataset. These processes are mathematically easy-to-handle and appear in numerous disciplines, including astronomy, biology, ecology, geology, seismology, medicine, physics, statistical mechanics, economics, image processing, forestry, telecommunications, insurance and finance, reliability, queuing theory, wireless networks, and localisation of sources. Beginning with the definitions and properties of some fundamental notions (stochastic integral, likelihood ratio, limit theorems, etc.), the book goes on to analyse a wide class of estimators for regular and singular statistical models. Special attention is paid to problems of change-point type, and



in particular cusp-type change-point models, then the focus turns to the asymptotically efficient nonparametric estimation of the mean function, the intensity function, and of some functionals. Traditional hypothesis testing, including some goodness-of-fit tests, is also discussed. The theory is then applied to three classes of problems: misspecification in regularity (MiR),corresponding to situations where the chosen change-point model and that of the real data have different regularity; optical communication with phase and frequency modulation of periodic intensity functions; and localization of a radioactive (Poisson) source on the plane using K detectors. Each chapter concludes with a series of problems, and state-of-the-art references are provided, making the book invaluable to researchers and students working in areas which actively use inhomogeneous Poisson processes.