Statistics 23

This book presents strategic perspectives on quality and flexibility, as well as quantitative tools for assessing their implementation in a range of systems. It introduces readers to the global chan……続きを見る

This is the second of two volumes containing papers and commentaries presented at the Eleventh World Congress of the Econometric Society, held in Montreal, Canada in August 2015. These papers provid……続きを見る

This is the first of two volumes containing papers and commentaries presented at the Eleventh World Congress of the Econometric Society, held in Montreal, Canada in August 2015. These papers provide……続きを見る

Structural vector autoregressive (VAR) models are important tools for empirical work in macroeconomics, finance, and related fields. This book not only reviews the many alternative structural VAR ap……続きを見る

This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real data. Thoroughly upda……続きを見る

With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources……続きを見る

This edition of Monetary and Financial Statistics Manual and Compilation Guide (Manual) updates and merges into one volume methodological and practical aspects of the compilation process of monetary……続きを見る

This book provides a comprehensive analysis of asset price movement. It examines different aspects of stock return predictability, the interaction between stock return and dividend growth predictabi……続きを見る

blogdown: Creating Websites with R Markdown provides a practical guide for creating websites using the blogdown package in R. In this book, we show you how to use dynamic R Markdown documents to bui……続きを見る

This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistica……続きを見る

Since the financial crisis, the issue of the ‘one percent’ has become the centre of intense public debate, unavoidable even for members of the elite themselves. Moreover, inquiring into elites has t……続きを見る

Dieses Buch bietet eine einheitliche und geschlossene Darstellung von Theorie und Modellen, die der Zeitreihenanalyse zugrunde liegen. Das Schwergewicht liegt dabei beim schwach stationären Fall und……続きを見る

The modern world is brimming with statistical informationーinformation relevant to our personal health and safety, the weather, or the robustness of the national or global economy, to name just a fe……続きを見る

Over the course of his professional life, John Maynard Keynes altered his views from free trade in the classical tradition to restricted trade. At the end of his career, his position on the issue wa……続きを見る

Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpret……続きを見る

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric proc……続きを見る

This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 – Mathematical and Statistical Methods for Actuarial Sciences and Finance”, held in Paris (Franc……続きを見る

This text is a step-by-step guide for students taking a first course in statistics for advertising and for advertising managers and practitioners who want to learn how to use Excel to solve practica……続きを見る

This textbook discusses central statistical concepts and their use in business and economics. To endure the hardship of abstract statistical thinking, business and economics students need to see int……続きを見る

This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in……続きを見る

Quantitative Modeling of Derivative Securities demonstrates how to take the basic ideas of arbitrage theory and apply them - in a very concrete way - to the design and analysis of financial products……続きを見る

First derived within the context of life-testing, inverse Gaussian distribution has become one of the most important and widely employed distributions, and is often used to model the lifetimes of co……続きを見る

Das dreibändige Lehrbuch „Quantitative BWL“ stellt die theoretischen quantitativen Grundlagen der betrieblichen Entscheidungen und des marktwirtschaftlichen Umfelds dar. Es ist für Studierende der W……続きを見る

C.R.M.E. is a workbook for anyone needing (or wanting) to do a research project that can stand the test of claiming scientific significance. The workbook leads the reader in a logical progression fr……続きを見る

Statistical statements and results are read and used in everyday life and are also presented in the form of charts and diagrams. This book covers basic introductory statistics and brings to light ho……続きを見る

In this anthology, editors Kym Anderson and Vicente Pinilla have gathered together some of the world's leading wine economists and economic historians to examine the development of national wine ind……続きを見る

This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for graduate students to grasp an overview of the theory of finance in an abstract f……続きを見る

This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in L……続きを見る

Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand wher……続きを見る

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big da……続きを見る