This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. This new edition has been revised and updated and in this fourth printing, errors have been ironed out. The first chapter provides a quick overview of concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Subsequent chapters contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results.
Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ´;why´ of statistics and the ´;how´.Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code.This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.
This compilation focuses on the theory and conceptualisation of statistics and probability in the early years and the development of young children´s (ages 3-10) understanding of data and chance. It provides a comprehensive overview of cutting-edge international research on the development of young learners´ reasoning about data and chance in formal, informal, and non-formal educational contexts. The authors share insights into young children´s statistical and probabilistic reasoning and provide early childhood educators and researchers with a wealth of illustrative examples, suggestions, and practical strategies on how to address the challenges arising from the introduction of statistical and probabilistic concepts in pre-school and school curricula. This collection will inform practices in research and teaching by providing a detailed account of current best practices, challenges, and issues, and of future trends and directions in early statistical and probabilistic learning worldwide. Further, it will contribute to future research and theory building by addressing theoretical, epistemological, and methodological considerations regarding the design of probability and statistics learning environments for young children.
Mathematical Statistics:Problems and Detailed Solutions. 1. Auflage Wiebe R. Pestman, Ivo B. Alberink
Mathematical Statistics:Problems and Detailed Solutions De Gruyter Textbook. Includes a print and an ebook Ivo B. Alberink, Wiebe R. Pestman
Understanding Statistics in Psychology with SPSS 7th edition, offers students a trusted, straightforward, and engaging way of learning how to carry out statistical analyses and use SPSS with confidence. Comprehensive and practical, the text is organised by short, accessible chapters, making it the ideal text for undergraduate psychology students needing to get to grips with Statistics in class or independently.Clear diagrams and full colour screenshots from SPSS make the text suitable for beginners while the broad coverage of topics ensures that students can continue to use it as they progress to more advanced techniques.Key features Now combines coverage of statistics with full guidance on how to use SPSS to analyse data Suitable for use with all versions of SPSS Examples from a wide range of real psychological studies illustrate how statistical techniques are used in practice Includes clear and detailed guidance on choosing tests, interpreting findings and reporting and writing up research Student focused pedagogical approach includingo Key concept boxes detailing important termso Focus on sections exploring complex topics in greater deptho Explaining statistics sections clarify important statistical concepts.
A crash course in statistics delves into key statistical methods, namely Chi Square, t-test, ANOVA and descriptive statistics. It equally gives an overview of statistical methods as well as various discussions of the statistical tests relating to various database culled from various sources, like the survey of student spending on textbooks, etc. Also, detailed demonstration of various data analysis in SPSS was considered via statistical test. 1. Language: English. Narrator: Andrea Giordani. Audio sample: http://samples.audible.de/bk/acx0/100742/bk_acx0_100742_sample.mp3. Digital audiobook in aax.
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.
Statistical View of the United States, Embracing Its Territory, Population-White, Free Colored, and Slave-Moral and Social Condition, Industry, Property, and Revenue, the Detailed Statistics of Cities, Towns and Counties:Being a Compendium of the Seventh J. D. B. Debow