Studies in Statistical Inference, Sample Techniques and Demography

Studies in Statistical Inference, Sample Techniques and Demography PDF

Author: Rajesh Singh, Jayant Singh, Florentin Smarandache

Publisher: Infinite Study

Published: 2009

Total Pages: 64

ISBN-13: 1599730871

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This volume is a collection of five papers/chapters. Two chapters deal withproblems in statistical inference, two with inferences in finite population, and one deals with demographic problem. The ideas included here will be useful for researchers doing works in these fields.

Improving Health Research on Small Populations

Improving Health Research on Small Populations PDF

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2018-08-02

Total Pages: 151

ISBN-13: 0309476097

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The increasing diversity of population of the United States presents many challenges to conducting health research that is representative and informative. Dispersion and accessibility issues can increase logistical costs; populations for which it is difficult to obtain adequate sample size are also likely to be expensive to study. Hence, even if it is technically feasible to study a small population, it may not be easy to obtain the funding to do so. In order to address the issues associated with improving health research of small populations, the National Academies of Sciences, Engineering, and Medicine convened a workshop in January 2018. Participants considered ways of addressing the challenges of conducting epidemiological studies or intervention research with small population groups, including alternative study designs, innovative methodologies for data collection, and innovative statistical techniques for analysis.

Design and Inference in Finite Population Sampling

Design and Inference in Finite Population Sampling PDF

Author: A. S. Hedayat

Publisher: Wiley-Interscience

Published: 1991-09-03

Total Pages: 0

ISBN-13: 9780471880738

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Covers a new but essential development in the field of population sampling, namely inference in finite sampling. Offers some important topics not found in other texts on sampling such as the superpopulation approach and randomized response, nonresponse and resampling techniques.

The Methods and Materials of Demography

The Methods and Materials of Demography PDF

Author: Henry S. Shryock

Publisher: Academic Press

Published: 2013-10-22

Total Pages: 588

ISBN-13: 1483289109

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Like the original two-volume work, this work attempts to present a systematic and comprehensive exposition, with illustrations, of the methods used by technicians and research workers in dealing with demographic data. The book is concerned with how data on population are gathered, classified, and treated to produce tabulations and various summarizing measures that reveal the significant aspects of the composition and dynamics of populations. It sets forth the sources, limitations, underlying definitions, and bases of classification, as well as the techniques and methods that have been developed for summarizing and analyzing the data.

Statistical Methods and Applications from a Historical Perspective

Statistical Methods and Applications from a Historical Perspective PDF

Author: Fabio Crescenzi

Publisher: Springer

Published: 2014-06-19

Total Pages: 403

ISBN-13: 3319055526

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​The book showcases a selection of peer-reviewed papers, the preliminary versions of which were presented at a conference held 11-13 June 2011 in Bologna and organized jointly by the Italian Statistical Society (SIS), the Institute national Institute of Statistics (ISTAT) and the Bank of Italy. The theme of the conference was "Statistics in the 150 years of the Unification of Italy." The celebration of the anniversary of Italian unification provided the opportunity to examine and discuss the methodological aspects and applications from a historical perspective and both from a national and international point of view. The critical discussion on the issues of the past has made it possible to focus on recent advances, considering the studies of socio-economic and demographic changes in European countries.

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse PDF

Author: Chester Ismay

Publisher: CRC Press

Published: 2019-12-23

Total Pages: 461

ISBN-13: 1000763463

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Statistical Demography and Forecasting

Statistical Demography and Forecasting PDF

Author: Juha Alho

Publisher: Springer Science & Business Media

Published: 2006-05-27

Total Pages: 432

ISBN-13: 0387283927

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Provides a unique introduction to demographic problems in a familiar language. Presents a unified statistical outlook on both classical methods of demography and recent developments. Exercises are included to facilitate its classroom use. Both authors have contributed extensively to statistical demography and served in advisory roles and as statistical consultants in the field.

Encyclopedia of Research Design

Encyclopedia of Research Design PDF

Author: Neil J. Salkind

Publisher: SAGE

Published: 2010-06-22

Total Pages: 1779

ISBN-13: 1412961270

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"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.

Statistical Models and Causal Inference

Statistical Models and Causal Inference PDF

Author: David A. Freedman

Publisher: Cambridge University Press

Published: 2010

Total Pages: 416

ISBN-13: 0521195004

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David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.