Survey weights : a step-by-step guide to calculation / Richard Valliant,, Jill A. Dever.

Por:

Valliant, Richard, 1950- [autor.]

Colaborador(es):

Dever, Jill A

Tipo de material: Texto

TextoIdioma: Inglés Editor: College Station, Texas : Stata Press Publication, 2018Edición: Primera ediciónDescripción: xviii, 183 páginasISBN:

9781597182607

Tema(s):

MUESTREO (ESTADISTICA)

Clasificación CDD:

005.369

Resumen: Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared toward Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples. Sample designs can range from simple, single-stage samples to more complex, multistage samples, each of which may use specialized steps in weighting to account for selection probabilities, nonresponse, inaccurate coverage of a population by a sample, and auxiliary data to improve precision and compensate for coverage errors. The authors provide many examples with Stata code. -- Provided by publisher.

Existencias ( 1 )
Notas de título ( 2 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura topográfica	Estado	Fecha de vencimiento	Código de barras	Reserva de ítems
Libros	Ciencias General	General	005.369 V188s c2018	Disponible		00425341

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Incluye referencias bibliográficas.

Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared toward Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples. Sample designs can range from simple, single-stage samples to more complex, multistage samples, each of which may use specialized steps in weighting to account for selection probabilities, nonresponse, inaccurate coverage of a population by a sample, and auxiliary data to improve precision and compensate for coverage errors. The authors provide many examples with Stata code. -- Provided by publisher.