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Studying Human Populations: An Advanced Course in Statistics
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ISBN: 9781441931566

Studying Human Populationsis a textbook for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic… mais…

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Studying Human Populations : An Advanced Course in Statistics - Nicholas T. Longford
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Nicholas T. Longford:

Studying Human Populations : An Advanced Course in Statistics - Livro de bolso

2010, ISBN: 1441931562

[EAN: 9781441931566], Neubuch, [SC: 0.0], [PU: Springer New York], ANALYSIS; EXPERIMENT; CAUSALINFERENCE; MEASUREMENT; MISSINGDATA; SAMPLING; STATISTICALMODELS; STATISTICALSOFTWARE, Druck… mais…

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Studying Human Populations: An Advanced Course in Statistics (Springer Texts in Statistics) - Longford, Nicholas T. T.
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Longford, Nicholas T. T.:
Studying Human Populations: An Advanced Course in Statistics (Springer Texts in Statistics) - Livro de bolso

2010

ISBN: 9781441931566

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2008, 496 Seiten, Publiziert: 2010-11-23T00:00:01Z, Produktgruppe: Buch, 1.52 kg, Medizin, Kategorien, Bücher, Recht… mais…

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Nicholas T. Longford:
Studying Human Populations - Livro de bolso

2010, ISBN: 1441931562

[EAN: 9781441931566], Neubuch, [PU: Springer New York], ANALYSIS EXPERIMENT CAUSALINFERENCE MEASUREMENT MISSINGDATA SAMPLING STATISTICALMODELS STATISTICALSOFTWARE SOZIOLOGIE POLITISCHE CA… mais…

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Studying Human Populations - Nicholas T. Longford
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Nicholas T. Longford:
Studying Human Populations - Livro de bolso

2010, ISBN: 9781441931566

An Advanced Course in Statistics, Buch, Softcover, Softcover reprint of hardcover 1st ed. 2008, [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2010

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Studying Human Populations: An Advanced Course in Statistics (Springer Texts in Statistics)

This textbook is for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic statistical activities: sampling, measurement and inference. The monograph aims to prepare the reader for the career of an independent social statistician and to serve as a reference for methods, ideas for and ways of studying of human populations. Elementary linear algebra and calculus are prerequisites, although the exposition is quite forgiving. Familiarity with statistical software at the outset is an advantage, but it can be developed while reading the first few chapters.

Dados detalhados do livro - Studying Human Populations: An Advanced Course in Statistics (Springer Texts in Statistics)


EAN (ISBN-13): 9781441931566
ISBN (ISBN-10): 1441931562
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer
496 Páginas
Peso: 0,742 kg
Língua: eng/Englisch

Livro na base de dados desde 2012-09-28T15:10:46-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-10-14T14:43:18-03:00 (Sao Paulo)
Número ISBN/EAN: 1441931562

Número ISBN - Ortografia alternativa:
1-4419-3156-2, 978-1-4419-3156-6


Dados da editora

Autor: Nicholas T. Longford
Título: Springer Texts in Statistics; Studying Human Populations - An Advanced Course in Statistics
Editora: Springer; Springer US
474 Páginas
Ano de publicação: 2010-11-23
New York; NY; US
Impresso / Feito em
Língua: Inglês
54,99 € (DE)

BC; Hardcover, Softcover / Soziologie/Politische Soziologie; Bevölkerung und Demographie; Verstehen; Analysis; Experiment; causal inference; measurement; missing data; sampling; statistical models; statistical software; statistics; Population and Demography; Sociological Methods; Statistical Theory and Methods; Epidemiology; Psychometrics; Biometrics; Soziologie; Wahrscheinlichkeitsrechnung und Statistik; Epidemiologie und medizinische Statistik; Psychologische Tests, Messtechniken; Mustererkennung; BB; EA

ANOVA and Ordinary Regression.- Maximum Likelihood Estimation.- Sampling Methods.- The Bayesian Paradigm.- Incomplete Data.- Imperfect Measurement.- Experiments and Observational Studies.- Clinical Trials.- Random Coefficients.- Generalised Linear Models.- Longitudinal and Time-Series Analysis.- Meta-Analysis and Estimating Many Quantities.

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