1.

Record Nr.

UNINA990001117100403321

Autore

Gruber, Bruno

Titolo

Symmetries in science VI : From the Rotation Group to Quantum Algebras : Proceedings of a Symposium held August 2-4, 1992, in Kloster Meherau, Bregenz, Vorarlberg, Austria / edited by Bruno Gruber

Pubbl/distr/stampa

New York : Plenum Press, 1993

ISBN

0-306-44584-0

Disciplina

512

Locazione

FI1

Collocazione

10A-199.005

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNISA996393299303316

Autore

Culmer Richard <d. 1662.>

Titolo

Cathedrall newes from Canterbury [[electronic resource] ] : shewing, the Canterburian Cathedrall to bee in an abbey-like corrupt, and rotten condition, which cals for a speedy reformation, or dissolution: vvhich dissolution is already foreshowne, and begun there, by many remarkeable passages upon that place, and the prelats there; amongst which passages of wonder is, the Archbishop of Canterburies passing-bell, rung miraculously in that Cathedrall. Recorded, and published by Richard Culmer, minister of Gods word, dwelling in Canterbury: heretofore of Magdalen Colledge in Cambridge, Master of Arts. Imprimatur, John White. I have perused this relation of Cathedrall newes, & therein observe, that the hand of providence hath, indeed, wrought a new thing in our Israel, worthy to be looked upon by all, with a due mixture of wonder, and thankefulnesse: & therefore conceive it necessary to bee published to the view of all. Jo. Caryll

Pubbl/distr/stampa

Printed at London, : by Rich. Cotes, for Fulk Clifton, 1644

Descrizione fisica

[4], 24 p

Soggetti

Great Britain Church history 17th century Early works to 1800



Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Annotation on Thomason copy: "June 24th.".

Reproduction of the original in the British Library.

Sommario/riassunto

eebo-0018

3.

Record Nr.

UNINA9910254063003321

Autore

Mukhopadhyay Parimal

Titolo

Complex Surveys : Analysis of Categorical Data / / by Parimal Mukhopadhyay

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016

ISBN

981-10-0871-X

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (259 p.)

Disciplina

519.5

Soggetti

Statistics

Biometry

Social sciences - Statistical methods

Statistical Theory and Methods

Statistics in Business, Management, Economics, Finance, Insurance

Biostatistics

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Chapter 1. Preliminaries -- Chapter 2. The Design-Effects and Mis-Specification Effects -- Chapter 3. Some Classical Models in Categorical Data Analysis -- Chapter 4. Analysis of Categorical Data under a Full Model -- Chapter 5. Analysis of Categorical Data under Log-Linear Models -- Chapter 6. Analysis of Categorical Data under Logistic Regression Model -- Chapter 7. Analysis in the Presence of



Classification Errors -- Chapter 8. Approximate MLE’s from Survey Data.

Sommario/riassunto

The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. The importance of sample surveys today cannot be overstated. From voters’ behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex surveydesigns like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed – an assumption on which the classical procedures of inference are based. This means that if classical tests are used for the analysis of such data, the inferences obtained will be inconsistent and often invalid. For this reason, many modified test procedures have been developed for this purpose over the last few decades.