Download or read online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get book now. This site is like a library, Use search box in the widget to get ebook that you want.

Advances in Regression Survival Analysis Extreme Values Markov Processes and Other Statistical Applications

Advances in Regression  Survival Analysis  Extreme Values  Markov Processes and Other Statistical Applications Author João Lita da Silva
ISBN-10 9783642349041
Release 2013-06-14
Pages 471
Download Link Click Here

This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at the beautiful resort seaside city of Sesimbra, Portugal, from September 30 to October 3, 2009. It covers a broad scope of theoretical, methodological as well as application-oriented articles in domains such as: Linear Models and Regression, Survival Analysis, Extreme Value Theory, Statistics of Diffusions, Markov Processes and other Statistical Applications.



Computational Science and Its Applications ICCSA 2014

Computational Science and Its Applications   ICCSA 2014 Author Beniamino Murgante
ISBN-10 9783319091501
Release 2014-07-02
Pages 810
Download Link Click Here

The six-volume set LNCS 8579-8584 constitutes the refereed proceedings of the 14th International Conference on Computational Science and Its Applications, ICCSA 2014, held in Guimarães, Portugal, in June/July 2014. The 347 revised papers presented in 30 workshops and a special track were carefully reviewed and selected from 1167. The 289 papers presented in the workshops cover various areas in computational science ranging from computational science technologies to specific areas of computational science such as computational geometry and security.



New Advances in Statistical Modeling and Applications

New Advances in Statistical Modeling and Applications Author António Pacheco
ISBN-10 9783319053233
Release 2014-05-12
Pages 285
Download Link Click Here

This volume of the Selected Papers is a product of the XIX Congress of the Portuguese Statistical Society, held at the Portuguese town of Nazaré, from September 28 to October 1, 2011. All contributions were selected after a thorough peer-review process. It covers a broad scope of papers in the areas of Statistical Science, Probability and Stochastic Processes, Extremes and Statistical Applications.



Biological Distance Analysis

Biological Distance Analysis Author Marin A. Pilloud
ISBN-10 9780128019719
Release 2016-08-19
Pages 518
Download Link Click Here

Biological Distance Analysis: Forensic and Bioarchaeological Perspectives synthesizes research within the realm of biological distance analysis, highlighting current work within the field and discussing future directions. The book is divided into three main sections. The first section clearly outlines datasets and methods within biological distance analysis, beginning with a brief history of the field and how it has progressed to its current state. The second section focuses on approaches using the individual within a forensic context, including ancestry estimation and case studies. The final section concentrates on population-based bioarchaeological approaches, providing key techniques and examples from archaeological samples. The volume also includes an appendix with additional resources available to those interested in biological distance analyses. Defines datasets and how they are used within biodistance analysis Applies methodology to individual and population studies Bridges the sub-fields of forensic anthropology and bioarchaeology Highlights current research and future directions of biological distance analysis Identifies statistical programs and datasets for use in biodistance analysis Contains cases studies and thorough index for those interested in biological distance analyses



Journal of the American Statistical Association

Journal of the American Statistical Association Author
ISBN-10 UOM:39015049351649
Release 1999
Pages
Download Link Click Here

Journal of the American Statistical Association has been writing in one form or another for most of life. You can find so many inspiration from Journal of the American Statistical Association also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Journal of the American Statistical Association book for free.



Bulletin

Bulletin Author
ISBN-10 UCAL:B4022902
Release 1987
Pages
Download Link Click Here

Bulletin has been writing in one form or another for most of life. You can find so many inspiration from Bulletin also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Bulletin book for free.



Statistical Meta Analysis with Applications

Statistical Meta Analysis with Applications Author Joachim Hartung (Prof. Dr.)
ISBN-10 STANFORD:36105131733656
Release 2008-08-11
Pages 247
Download Link Click Here

"Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies."--Jacket.



Advances in Theoretical and Applied Statistics

Advances in Theoretical and Applied Statistics Author Nicola Torelli
ISBN-10 9783642355882
Release 2013-06-26
Pages 532
Download Link Click Here

This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics.



Analysis and Modeling of Complex Data in Behavioral and Social Sciences

Analysis and Modeling of Complex Data in Behavioral and Social Sciences Author Donatella Vicari
ISBN-10 9783319066929
Release 2014-07-05
Pages 301
Download Link Click Here

This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems. The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.



The EM algorithm and extensions

The EM algorithm and extensions Author Geoffrey J. McLachlan
ISBN-10 STANFORD:36105210545336
Release 2008-03-14
Pages 359
Download Link Click Here

The only single-source--now completely updated and revised--to offer a unified treatment of the theory, methodology, and applications of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition successfully provides a basic understanding of the EM algorithm by describing its inception, implementation, and applicability in numerous statistical contexts. In conjunction with the fundamentals of the topic, the authors discuss convergence issues and computation of standard errors, and, in addition, unveil many parallels and connections between the EM algorithm and Markov chain Monte Carlo algorithms. Thorough discussions on the complexities and drawbacks that arise from the basic EM algorithm, such as slow convergence and lack of an in-built procedure to compute the covariance matrix of parameter estimates, are also presented. While the general philosophy of the First Edition has been maintained, this timely new edition has been updated, revised, and expanded to include: New chapters on Monte Carlo versions of the EM algorithm and generalizations of the EM algorithm New results on convergence, including convergence of the EM algorithm in constrained parameter spaces Expanded discussion of standard error computation methods, such as methods for categorical data and methods based on numerical differentiation Coverage of the interval EM, which locates all stationary points in a designated region of the parameter space Exploration of the EM algorithm's relationship with the Gibbs sampler and other Markov chain Monte Carlo methods Plentiful pedagogical elements-chapter introductions, lists of examples, author and subject indices, computer-drawn graphics, and a related Web site The EM Algorithm and Extensions, Second Edition serves as an excellent text for graduate-level statistics students and is also a comprehensive resource for theoreticians, practitioners, and researchers in the social and physical sciences who would like to extend their knowledge of the EM algorithm.



Microeconometrics

Microeconometrics Author A. Colin Cameron
ISBN-10 9781139444866
Release 2005-05-09
Pages
Download Link Click Here

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.



Survival Analysis

Survival Analysis Author Xian Liu
ISBN-10 9781118307670
Release 2012-06-13
Pages 427
Download Link Click Here

Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS. Survival Analysis: Models and Applications: Presents basic techniques before leading onto some of the most advanced topics in survival analysis. Assumes only a minimal knowledge of SAS whilst enabling more experienced users to learn new techniques of data input and manipulation. Provides numerous examples of SAS code to illustrate each of the methods, along with step-by-step instructions to perform each technique. Highlights the strengths and limitations of each technique covered. Covering a wide scope of survival techniques and methods, from the introductory to the advanced, this book can be used as a useful reference book for planners, researchers, and professors who are working in settings involving various lifetime events. Scientists interested in survival analysis should find it a useful guidebook for the incorporation of survival data and methods into their projects.



Handbook of Monte Carlo Methods

Handbook of Monte Carlo Methods Author Dirk P. Kroese
ISBN-10 UCSD:31822037431095
Release 2011-03-15
Pages 743
Download Link Click Here

"The purpose of this handbook is to provide an accessible and comprehensive compendium of Monte Carlo techniques and related topics. It contains a mix of theory (summarized), algorithms (pseudo and actual), and applications. Since the audience is broad, the theory is kept to a minimum, this without sacrificing rigor. The book is intended to be used as an essential guide to Monte Carlo methods to quickly look up ideas, procedures, formulas, pictures, etc., rather than purely a monograph for researchers or a textbook for students. As the popularity of these methods continues to grow, and new methods are developed in rapid succession, the staggering number of related techniques, ideas, concepts and algorithms makes it difficult to maintain an overall picture of the Monte Carlo approach. This book attempts to encapsulate the emerging dynamics of this field of study"--



Introducing Survival and Event History Analysis

Introducing Survival and Event History Analysis Author Melinda Mills
ISBN-10 9781848601024
Release 2011-01-19
Pages 279
Download Link Click Here

This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.



An Introduction to Statistics with Python

An Introduction to Statistics with Python Author Thomas Haslwanter
ISBN-10 9783319283166
Release 2016-07-20
Pages 278
Download Link Click Here

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis.



Annual Report Statistical Laboratory Iowa State University

Annual Report   Statistical Laboratory  Iowa State University Author
ISBN-10 MINN:31951D00907338S
Release 1992
Pages
Download Link Click Here

Annual Report Statistical Laboratory Iowa State University has been writing in one form or another for most of life. You can find so many inspiration from Annual Report Statistical Laboratory Iowa State University also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Annual Report Statistical Laboratory Iowa State University book for free.



Modelling Extremal Events

Modelling Extremal Events Author Paul Embrechts
ISBN-10 9783642334832
Release 2013-03-14
Pages 648
Download Link Click Here

"A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions...and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists." --MATHEMATICAL REVIEWS