Author: Dana K. Keller Publisher: SAGE ISBN: 9781412913140 Category : Mathematics Languages : en Pages : 172
Book Description
A new approach to statistics, in plain English, this text explains what statistics mean & how they are used, rather than how to calculate them.
Author: Dana K. Keller Publisher: SAGE ISBN: 1452239312 Category : Social Science Languages : en Pages : 161
Book Description
Dana K. Keller and Mary Lou Casadevall-Keller provide readers with a highly accessible introduction to the fundamental concepts of research methods in The Tao of Research: A Path to Validity. This brief, engaging book approaches the topic of research through an exploration of the issues that threaten validity in the process of knowledge generation. Key Features Examines the propositional, ethical, structural, functional, and technical restrictions researchers face Focuses on understanding how these restrictions influence research methods and results Makes concepts more accessible through discussions that follow the experiences of three "guides"—a high school principal, a statewide director of public health, and a sociology professor at a small liberal arts college. The Tao of Research: A Path to Validity serves as either a main or supplemental text for courses such as Introduction to Research Methods, Social Research Methods, and Applied Research Methods.
Author: Terence Tao Publisher: Springer ISBN: 9811017891 Category : Mathematics Languages : en Pages : 366
Book Description
This is part one of a two-volume book on real analysis and is intended for senior undergraduate students of mathematics who have already been exposed to calculus. The emphasis is on rigour and foundations of analysis. Beginning with the construction of the number systems and set theory, the book discusses the basics of analysis (limits, series, continuity, differentiation, Riemann integration), through to power series, several variable calculus and Fourier analysis, and then finally the Lebesgue integral. These are almost entirely set in the concrete setting of the real line and Euclidean spaces, although there is some material on abstract metric and topological spaces. The book also has appendices on mathematical logic and the decimal system. The entire text (omitting some less central topics) can be taught in two quarters of 25–30 lectures each. The course material is deeply intertwined with the exercises, as it is intended that the student actively learn the material (and practice thinking and writing rigorously) by proving several of the key results in the theory.
Author: Ian Scott Publisher: SAGE ISBN: 9780761974765 Category : Medical Languages : en Pages : 252
Book Description
Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
Author: Arunabh Ghosh Publisher: Princeton University Press ISBN: 0691179476 Category : History Languages : en Pages : 360
Book Description
Revision of author's thesis (doctoral)--Columbia University, 2014, titled Making it count: statistics and state-society relations in the early People's Republic of China, 1949-1959.
Author: Ning-Zhong Shi Publisher: World Scientific ISBN: 9812814361 Category : Science Languages : en Pages : 320
Book Description
This book presents up-to-date theory and methods of statistical hypothesis testing based on measure theory. The so-called statistical space is a measurable space adding a family of probability measures. Most topics in the book will be developed based on this term. The book includes some typical data sets, such as the relation between race and the death penalty verdict, the behavior of food intake of two kinds of Zucker rats, and the per capita income and expenditure in China during the 1978?2002 period. Emphasis is given to the process of finding appropriate statistical techniques and methods of evaluating these techniques.
Author: Michiko Watanabe Publisher: CRC Press ISBN: 0824757025 Category : Mathematics Languages : en Pages : 214
Book Description
Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available, and proposes specific estimation algorithms for solutions to incomplete data problems. The text covers current topics including statistical models with latent variables, as well as neural network models, and Markov Chain Monte Carlo methods. It describes software resources valuable for the processing of the EM algorithm with incomplete data and for general analysis of latent structure models of categorical data, and studies accelerated versions of the EM algorithm.
Author: David J. Bartholomew Publisher: SAGE ISBN: 1473934338 Category : Social Science Languages : en Pages : 193
Book Description
This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence. Key topics include: Variability Standard Distributions Correlation Relationship Sampling Inference An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for anyone needing a fresh perspective whilst studying the work of others.
Author: Neil Burdess Publisher: SAGE ISBN: 1446200329 Category : Social Science Languages : en Pages : 201
Book Description
Statistics: A Short, Clear Guide is an accessible, humorous and easy introduction to statistics for social science students. In this refreshing book, experienced author and academic Neil Burdess shows that statistics are not the result of some mysterious "black magic", but rather the result of some very basic arithmetic. Getting rid of confusing x′s and y′s, he shows that it′s the intellectual questions that come before and after the calculations that are important: (i) What are the best statistics to use with your data? and (ii) What do the calculated statistics tell you? Statistics: A Short, Clear Guide aims to help students make sense of the logic of statistics and to decide how best to use statistics to analyse their own data. What′s more, it is not reliant on students having access to any particular kind of statistical software package. This is a very useful book for any student in the social sciences doing a statistics course or needing to do statistics for themselves for the first time.
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Author: Dana K. Keller
Author: Dana K. Keller
Author: Terence Tao
Author: Dr Dana K Keller
Author: Ian Scott
Author: Arunabh Ghosh
Author: Ning-Zhong Shi
Author: Michiko Watanabe
Author: David J. Bartholomew
Author: Neil Burdess