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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… More...

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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 - Paperback

2010, ISBN: 1441931562

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

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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) - Paperback

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… More...

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Studying Human Populations - Nicholas T. Longford
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Nicholas T. Longford:
Studying Human Populations - Paperback

2010, ISBN: 1441931562

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

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Studying Human Populations - Nicholas T. Longford
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Nicholas T. Longford:
Studying Human Populations - Paperback

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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Bibliographic data of the best matching book

Details of the book
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.

Details of the book - Studying Human Populations: An Advanced Course in Statistics (Springer Texts in Statistics)


EAN (ISBN-13): 9781441931566
ISBN (ISBN-10): 1441931562
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer
496 Pages
Weight: 0,742 kg
Language: eng/Englisch

Book in our database since 2012-09-28T19:10:46+01:00 (London)
Detail page last modified on 2023-10-14T18:43:18+01:00 (London)
ISBN/EAN: 1441931562

ISBN - alternate spelling:
1-4419-3156-2, 978-1-4419-3156-6


Information from Publisher

Author: Nicholas T. Longford
Title: Springer Texts in Statistics; Studying Human Populations - An Advanced Course in Statistics
Publisher: Springer; Springer US
474 Pages
Publishing year: 2010-11-23
New York; NY; US
Printed / Made in
Language: English
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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