Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Extreme Values and Financial Risk
This book is a printed edition of the Special Issue "Extreme Values and Financial Risk" that was published in JRFM
Finite Mixture of Skewed Distributions
This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN). For this purpose, the authors consider maximum likelihood estimation for univariate and multivariate finite mixtures where components are members of the flexible class of SMSN distributions. This subclass includes the entire family of normal independent distributions, also known as scale mixtures of normal distributions (SMN), as well as the skew-normal and skewed versions of some other classical symmetric distributions: the skew-t (ST), the skew-slash (SSL) and the skew-contaminated normal (SCN), for example. Th...
Determinants of U.S. Business Investment
U.S. business investment has taken a serious toll during the global financial crisis and also in the recovery phase investment did not pick up as expected. What is surprising is that the alleged investment slowdown happened at a time of record corporate profits and retained earnings, highly supportive financial conditions, improved sentiment, rising equity valuations, and strong labor markets—factors established in supporting business investment. Applying accelerator models and Bayesian Model Averaging, this paper discusses the extent to which U.S. business investment has been unusual. Results suggest that cautious expectations of future aggregate demand growth explain most of the weakness in investment, and that the oil and gas sector accounts for a considerable portion of the investment slump. Consequently, the behavior of U.S. business investment in recent years has not been unusual once these factors are taken into account. Also, there is very little evidence for uncertainty holding back investment, or that firms’ financial measures "crowded out" capital expenditure.
Bioinformatic and Statistical Analysis of Microbiome Data
This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.
Selected Contributions on Statistics and Data Science in Latin America
The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as “big data”. Statistical research in Latin America is prolific and research networks span within and outside the region. The goal of this volume is to provide access to selected works from Latin-American collaborators and their research networks to a wider audience. New methodological advances, motivated in part by the challenges of a data-driven world and the Latin American context, will be of interest to academics and practitioners around the world.
Applied Statistics at the Leading Edge
Researchers in statistics from a range of industrialized and non- industrialized countries report recent findings as the growing speed and power of computing continues to grease the road from theory to application. Among the topics are testing proportional hazards assumptions by applying them to heart transplant data, prediction in growth curve models in Markov covariance structure, confidence limits for the availability of a complex two-unit system with varying repair rate, ranked set sampling from a dichotomous population, and inference for saturated orthogonal designs for fitting first-order models. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
An Introduction to Categorical Data Analysis
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, ...
