Download or read book Proceedings of the XI International Summer Conference on Probability and Statistics and Seminar on Statistical Data Analysis SDA 2004 written by International Summer Conference on Probability and Statistics and published by . This book was released on 2005 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the X International Summer Conference on Probability and Statistics and Seminar on Statistical Data Analysis SDA 2003 written by International Summer Conference on Probability and Statistics. 10, 2003, Sozopol and published by . This book was released on 2004 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the X International Summer Conference on Probability and Statistics and Seminar on Statistical Data Analysis SDA 2003 written by 2003 International Summer Conference on Probability and Statistics 10, Sozopol and published by . This book was released on 2004 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the XII International Summer Conference on Probability and Statistics and Seminar on Statistical Data Analysis SDA 2006 written by International Summer Conference on Probability and Statistics and published by . This book was released on 2007 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the XIV International Summer Conference on Probability and Statistics Seminar on Statistical Data Analysis SDA 2010 Workshop on Branching Processes written by Nikolaj M. Janev and published by . This book was released on 2011 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the XV International Summer Conference on Probability and Statistics Seminar on Statistical Data Analysis SDA 2012 Workshop on Branching Processes and Applications written by Nikolaj M. Janev and published by . This book was released on 2013 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Pliska written by and published by . This book was released on 2004 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the XVI th International Summer Conference on Probability and Statistics Seminar on Statistical Data Analysis Workshop on Branching Processes and Applications 21 29 June 2014 Pomorie Bulgaria written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Teaching of Probability Statistics written by Lennart Råde and published by . This book was released on 1970 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Teaching of Probability and Statistics written by Lennart Råde and published by . This book was released on 1970 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Introduction to Categorical Data Analysis written by Alan Agresti and published by John Wiley & Sons. This book was released on 2018-10-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.
Download or read book Applied Survey Data Analysis written by Steven G. Heeringa and published by CRC Press. This book was released on 2017-07-12 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s updated website.
Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Download or read book Access to Affordable and Nutritious Food Measuring and Understanding Food Deserts and Their Consequences written by Michele Ver Ploeg and published by DIANE Publishing. This book was released on 2010-02 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Food, Conservation, and Energy Act of 2008 directed the U.S. Dept. of Agr. to conduct a 1-year study to assess the extent of areas with limited access to affordable and nutritious food, identify characteristics and causes of such areas, consider how limited access affects local populations, and outline recommend. to address the problem. This report presents the findings of the study, which include results from two conferences of national and internat. authorities on food deserts and a set of research studies. It also includes reviews of existing literature, a national-level assessment of access to large grocery stores and supermarkets, analysis of the economic and public health effects of limited access, and a discussion of existing policy interventions. Illus.
Download or read book Transfer Learning written by Qiang Yang and published by Cambridge University Press. This book was released on 2020-02-13 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.
Download or read book Symbolic Data Analysis written by Lynne Billard and published by John Wiley & Sons. This book was released on 2012-05-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of computers, very large datasets have become routine. Standard statistical methods don’t have the power or flexibility to analyse these efficiently, and extract the required knowledge. An alternative approach is to summarize a large dataset in such a way that the resulting summary dataset is of a manageable size and yet retains as much of the knowledge in the original dataset as possible. One consequence of this is that the data may no longer be formatted as single values, but be represented by lists, intervals, distributions, etc. The summarized data have their own internal structure, which must be taken into account in any analysis. This text presents a unified account of symbolic data, how they arise, and how they are structured. The reader is introduced to symbolic analytic methods described in the consistent statistical framework required to carry out such a summary and subsequent analysis. Presents a detailed overview of the methods and applications of symbolic data analysis. Includes numerous real examples, taken from a variety of application areas, ranging from health and social sciences, to economics and computing. Features exercises at the end of each chapter, enabling the reader to develop their understanding of the theory. Provides a supplementary website featuring links to download the SODAS software developed exclusively for symbolic data analysis, data sets, and further material. Primarily aimed at statisticians and data analysts, Symbolic Data Analysis is also ideal for scientists working on problems involving large volumes of data from a range of disciplines, including computer science, health and the social sciences. There is also much of use to graduate students of statistical data analysis courses.
Download or read book Statistical Methods written by George Waddel Snedecor and published by Iowa State Press. This book was released on 1980 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sampling of attributes. Sampling from a normally distributed population. Experimental samping from a normal population. The comparison of two samples. Shortcut and non-parametric methods. Regression. Correlation. Sampling from the binomial distribution. Attribute data with more than one degree of freedom. One-way classifications. Analysis of variance. Two-way classifications. Factorial experiments. Multiple regression. Analysis of covariance. Curvilinear regression. Two-way classifications with unequal numbers and proportions. Design and analysis of sampling.
