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Register Based Statistics
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Author : Anders Wallgren
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-01
Register Based Statistics written by Anders Wallgren and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Mathematics categories.
REGISTER-BASED STATISTICS Rediscover this authoritative guide to register-based statistics filled with significant new improvements In the newly revised Third Edition of Register-based Statistics: Registers and the National Statistical System, Anders Wallgren and Britt Wallgren deliver a robust exploration of how register-based statistics can be used to its fullest potential. The authors describe how statistical institutes can work on long-term projects to improve administrative systems, as well as estimation methods that can improve the quality of statistical estimates based on registers with quality problems. Readers will also discover how to improve the ways register-statistical issues are introduced, as well as how to create population registers. Finally, the authors draw on their experience from teaching and consulting in several countries to explain how to implement register-based statistics. Key features of the third edition: Discusses the problems new register countries face Explains how registers will improve the efficiency of the national statistical system Clarifies the importance of the system approach Describes how a statistical population register can be created Registers-based statistics require new skills and understanding of new concepts Many important quality indicators are described Explains difficult topics in a pedagogic way Perfect for staff at national statistical institutes and administrative and ministerial authorities belonging to national statistical systems, Register-based Statistics will also prove to be an indispensable resource for undergraduate and graduate students in statistics programs and courses, as well as survey researchers and practitioners.
An Introduction To Statistical Learning
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Author : Gareth James
language : en
Publisher: Springer Nature
Release Date : 2023-08-01
An Introduction To Statistical Learning written by Gareth James and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Mathematics categories.
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Selected Techniques Of Statistical Analysis For Scientific And Industrial Research And Production And Management Engineering
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Author : Columbia University. Statistical Research Group
language : en
Publisher:
Release Date : 1947
Selected Techniques Of Statistical Analysis For Scientific And Industrial Research And Production And Management Engineering written by Columbia University. Statistical Research Group and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1947 with Mathematical statistics categories.
Statistical Methods
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Author : Rudolf J. Freund
language : en
Publisher: Elsevier
Release Date : 2003-01-07
Statistical Methods written by Rudolf J. Freund and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-07 with Mathematics categories.
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters
Statistics For Anthropology
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Author : Lorena Madrigal
language : en
Publisher: Cambridge University Press
Release Date : 2012-03
Statistics For Anthropology written by Lorena Madrigal and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03 with Science categories.
A clear, step-by-step guide to statistical methods for anthropology students, providing a solid footing in basic statistical techniques.
Statistical Methods For Geography
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Author : Peter A Rogerson
language : en
Publisher: SAGE
Release Date : 2014-11-11
Statistical Methods For Geography written by Peter A Rogerson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Social Science categories.
How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it’s a statistics 101 that includes definitions, examples, and exercise throughout. Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module: Descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. Exercises in the text are complemented with online exercise and prompts that test the understanding of concepts and techniques, additional online exercises review understanding of the entire chapter, relating concepts and techniques. Completely revised and updated for accessibility, including new material (on measures of distance, statistical power, sample size selection, and basic probability) with related exercises and downloadable datasets. It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.
Statistics For Spatio Temporal Data
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Author : Noel Cressie
language : en
Publisher: John Wiley & Sons
Release Date : 2015-11-02
Statistics For Spatio Temporal Data written by Noel Cressie and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-02 with Mathematics categories.
Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods Noel Cressie and Christopher K. Wikle, are also winners of the 2011 PROSE Award in the Mathematics category, for the book “Statistics for Spatio-Temporal Data” (2011), published by John Wiley and Sons. (The PROSE awards, for Professional and Scholarly Excellence, are given by the Association of American Publishers, the national trade association of the US book publishing industry.) Statistics for Spatio-Temporal Data has now been reprinted with small corrections to the text and the bibliography. The overall content and pagination of the new printing remains the same; the difference comes in the form of corrections to typographical errors, editing of incomplete and missing references, and some updated spatio-temporal interpretations. From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models. Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes. Topics of coverage include: Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes Development of hierarchical dynamical spatio-temporal models (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation Quantifying and exploring spatio-temporal variability in scientific applications, including case studies based on real-world environmental data Throughout the book, interesting applications demonstrate the relevance of the presented concepts. Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material. Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics. It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
The Statistical Imagination
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Author : Ferris Joseph Ritchey
language : en
Publisher:
Release Date : 2000
The Statistical Imagination written by Ferris Joseph Ritchey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Mathematics categories.
1 - The Statistical Imagination 2 - Statistical Analysis: Error Management and Control 3 - Charts and Graphs: A Picture Says A Thousand Words 4 - Measuring Averages 5 - Measuring Dispersion or Spread in a Distribution of Scores 6 - Probability Theory and the Normal Probability Distribution 7 - Using Probability Theory to Produce Sampling Distributions 8 - Parameter Estimation Using Confidence Intervals 9 - Hypothesis Testing 10 - Single Sample Hypothesis Tests: Establishing the Representativeness of Samples 11 - Bivariate Relationships: T-Test for Comparing the Means of Two Groups 12 - Analysis of Variance: Differences Among Means of Three or More Groups 13 - Nominal Variables: The Chi-Square and Binomial Distributions 14 - Correlation and Regression Part 1: Concepts and Calculations 15 - Correlation and Regression Part 2: Hypothesis Testing and Aspects of a Relationship 16 - Rank Order Correlation Between Two Ordinal Variables.
Introduction To Statistical Analysis
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Author : Wilfrid Joseph Dixon
language : en
Publisher:
Release Date : 1951
Introduction To Statistical Analysis written by Wilfrid Joseph Dixon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1951 with Statistics categories.
Statistics I Ii For Dummies 2 Ebook Bundle
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Author : Deborah J. Rumsey
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-03
Statistics I Ii For Dummies 2 Ebook Bundle written by Deborah J. Rumsey and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-03 with Mathematics categories.
Two complete eBooks for one low price! Created and compiled by the publisher, this Statistics I and Statistics II bundle brings together two math titles in one, e-only bundle. With this special bundle, you’ll get the complete text of the following two titles: Statistics For Dummies, 2nd Edition Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance. Statistics II For Dummies The ideal supplement and study guide for students preparing for advanced statistics. Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, real-world applications, and test-taking strategies for success. This easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test. About the Author Deborah Rumsey has a PhD in Statistics from The Ohio State University. Upon graduating, she joined the faculty in the Department of Statistics at Kansas State University, where she won the distinguished Presidential Teaching Award and earned tenure and promotion. She returned to Ohio State and is now a Statistics Education Specialist/Auxiliary Faculty Member for the Department of Statistics. Dr. Rumsey has served on the American Statistical Associations Statistics Education Executive Committee and is the Editor of the Teaching Bits section of the Journal of Statistics Education. She is the author of the both books in this bundle. Additionally, she has published many papers and given many professional presentations on the subject of Statistics Education. Her particular research interests are curriculum materials development, teacher training and support, and immersive learning environments.