NOW WITH NEW PROLOGUE ABOUT DEMYSTIFYING CORONAVIRUS NUMBERS, DONALD TRUMP AND WHY STATISTICS MATTER MORE THAN EVER 'The Number Bias combines vivid storytelling with authoritative analysis to deliver a warning about the way numbers can lead us astray - if we let them.' TIM HARFORD Even if you don't consider yourself a numbers person, you are a numbers person. The time has come to put numbers in their place. Not high up on a pedestal, or out on the curb, but right where they belong: beside words. It is not an overstatement to say that numbers dictate the way we live our lives. They tell us how we're doing at school, how much we weigh, who might win an election and whether the economy is booming. But numbers aren't as objective as they may seem; behind every number is a story. Yet politicians, businesses and the media often forget this - or use it for their own gain. Sanne Blauw travels the world to unpick our relationship with numbers and demystify our misguided allegiance, from Florence Nightingale using statistics to petition for better conditions during the Crimean War to the manipulation of numbers by the American tobacco industry and the ambiguous figures peddled during the EU referendum. Taking us from the everyday numbers that govern our health and wellbeing to the statistics used to wield enormous power and influence, The Number Bias counsels us to think more wisely. 'A beautifully accessible exploration of how numbers shape our lives, and the importance of accurately interpreting the statistics we are fed.' ANGELA SAINI, author of Superior

In diesem Buch werden in kompakter Form mithilfe zahlreicher Beispiele die ublichen Modelle und Methoden der angewandten Wahrscheinlichkeitstheorie und Statistik dargestellt. Es ist daher insbesondere fur angehende Wirtschaftswissenschaftler, Ingenieure und Informatiker geeignet, welchen auch das didaktische Konzept des Buchs entgegenkommt: Verstandnisfragen und Aufgaben in Form von "Meilensteinen" erleichtern das eigenstandige UEberprufen des Lernfortschritts. Ein ausfuhrlicher mathematischer Anhang "Mathematik kompakt" stellt die wichtigsten Ergebnisse aus Analysis und linearer Algebra zum effizienten Nachschlagen zur Verfugung. Ein Glossar mit den wichtigsten englischen Begriffen sowie Tabellen der statistischen Testverteilungen runden die Darstellung ab.

Formal Models of Domestic Politics offers a unified and accessible approach to canonical and important new models of politics. Intended for political science and economics students who have already taken a course in game theory, this new edition retains the widely appreciated pedagogic approach of the first edition. Coverage has been expanded to include a new chapter on nondemocracy; new material on valance and issue ownership, dynamic veto and legislative bargaining, delegation to leaders by imperfectly informed politicians, and voter competence; and numerous additional exercises. Political economists, comparativists, and Americanists will all find models in the text central to their research interests. This leading graduate textbook assumes no mathematical knowledge beyond basic calculus, with an emphasis placed on clarity of presentation. Political scientists will appreciate the simplification of economic environments to focus on the political logic of models; economists will discover many important models published outside of their discipline; and both instructors and students will value the classroom-tested exercises. This is a vital update to a classic text.

Die Beschaftigung mit finanzwirtschaftlichen Fragestellungen erfordert heute mehr denn je fundierte mathematische Kenntnisse - nicht nur im Rahmen der betrieblichen Finanzwirtschaft, sondern auch im Umgang mit privaten Investitions- und Finanzierungsentscheidungen sowie fur Kundenberater in der Finanzdienstleistungsindustrie. Das Buch entwickelt das notwendige Wissen, das von finanzmathematischen Standards der Zins-, Barwert- und Effektivzinsrechnung bis zum modernen Risikomanagement mit Elementen aus Portfoliotheorie, Optionspreisbestimmung sowie der Risikomessung mit dem Value at Risk reicht. Die dafur notwendigen Grundkenntnisse der Statistik werden ebenfalls vermittelt. Umfangreiche Beispiele erlautern die theoretischen Ansatze praxisbezogen. Zu jedem Kapitel gibt es umfassende Fallstudien, mit deren Hilfe ein Selbststudium moeglich ist.

Econophysics has been used to study a range of economic and financial systems. This book uses the econophysical perspective to focus on the income distributive dynamics of economic systems. It focuses on the empirical characterization and dynamics of income distribution and its related quantities from the epistemological and practical perspectives of contemporary physics. Several income distribution functions are presented which fit income data and results obtained by statistical physicists on the income distribution problem. The book discusses two separate research traditions: the statistical physics approach, and the approach based on non-linear trade cycle models of macroeconomic dynamics. Several models of distributive dynamics based on the latter approach are presented, connecting the studies by physicists on distributive dynamics with the recent literature by economists on income inequality. As econophysics is such an interdisciplinary field, this book will be of interest to physicists, economists, statisticians and applied mathematicians.

The Who, What, and Where of America is designed to provide a sampling of key demographic information. It covers the United States, every state, each metropolitan statistical area, and all the counties and cities with a population of 20,000 or more. Who: Age, Race and Ethnicity, and Household Structure What: Education, Employment, and Income Where: Migration, Housing, and Transportation Each part is preceded by highlights and ranking tables that show how areas diverge from the national norm. These research aids are invaluable for understanding data from the ACS and for highlighting what it tells us about who we are, what we do, and where we live. Each topic is divided into four tables revealing the results of the data collected from different types of geographic areas in the United States, generally with populations greater than 20,000. ·Table A. States ·Table B. Counties ·Table C. Metropolitan Areas ·Table D. Cities In this edition, you will find social and economic estimates on the ways American communities are changing with regard to the following: ·Age and race ·Health care coverage ·Marital history ·Education attainment ·Income and occupation ·Commute time to work ·Employment status ·Home values and monthly costs ·Veteran status ·Size of home or rental unit This title is the latest in the County and City Extra Series of publications from Bernan Press. Other titles include County and City Extra, County and City Extra: Special Decennial Census Edition, and Places, Towns, and Townships.

Dieses Buch enthalt kompakte Beschreibungen aller wesentlichen Informationsverarbeitungs-Systeme im Industriebetrieb. Neben Standardanwendungen wird besonderer Wert auf interessante Einzelideen sowie branchentypische Besonderheiten gelegt, wenn diese hohen Anregungswert fur Praxis und Wissenschaft haben."

Das Buch liefert ein Methodenset, das IT-Verantwortlichen helfen kann, mit einfachen Instrumenten zu einer effizienten und am Kundennutzen orientierten Leistungserstellung zu gelangen.

Karsten Webel liefert einen UEberblick uber die in der OEkonometrie etablierten Erklarungsansatze fur ein langes Gedachtnis und weist erstmals nach, dass auch ein Prozess, der in diesen Gebiet nahezu unbekannt ist, unter bestimmten Bedingungen ein langes Gedachtnis erzeugen kann.

Research and Evaluation for Business is intended for use in either a one or two semester introductory business statistics course. The focus of the text is on decision making based on data analysis. This is a real data, and problem-oriented text that teaches the actual practice of statistical thinking, management of decision making for tool selection, assumptions management, outcome interpretation, and reporting. The text incorporates, where appropriate, Excel and Minitab commands and output in examples and exercises.

Mit dem Ziel, die zahlreichen Freiheitsgrade bei der Ausgestaltung von Kunstlichen Neuronalen Netzen wissenschaftlich fundiert zu fixieren, untersucht Janette F. Walde die Starken und Schwachen von mehrschichtigen Perzeptronen, die zu dieser Modellierungsklasse zahlen. Sie vergleicht deren Performance mit der von klassischen Verfahren, identifiziert mit Hilfe von Sensitivitatsanalysen die wichtigen Inputvariablen und uberpruft die aufgezeigten nichtlinearen Zusammenhange auf ihre substanzwissenschaftliche Fundierung. Es wird deutlich, dass dem Vorteil der Kunstlichen Neuronalen Netze, namlich die kaum erforderliche Vorabspezifizierung des funktionalen Zusammenhangs, ein enormer Datenhunger gegenubersteht.

A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: * Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison * Different approaches to calculating asset volatility and various volatility models * High-frequency financial data and simple models for price changes, trading intensity, and realized volatility * Quantitative methods for risk management, including value at risk and conditional value at risk * Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.

Statistik interaktiv! ist eine multimediale Lerneinheit zur Grundausbildung Statistik. Inhalt ist die deskriptive Statistik. Eine authentische Videogeschichte fuhrt den Anwender problemorientiert durch die Lektionen, von den Grundbegriffen bis zur linearen Regression. In einem interaktiven Lernlabor haben die Lernenden die Moeglichkeit, konkrete UEbungsaufgaben zu bearbeiten und Musterloesungen zu studieren oder auch frei zu experimentieren. So entsteht lebendiges Wissen und Spass am Lernen. In einem ausfuhrlichen Begleitbuch kann der Lehrstoff nachbearbeitet werden. Fur die neue Auflage wurde die Funktionalitat des Lernlabor verbessert und erweitert.

This Book Set consists of: *9781780525242 - Missing Data Methods: Cross-sectional Methods and Applications (Part A) *9781780525266 - Missing Data Methods: Time-series Methods and Applications (Part B) The papers in this volume cover topics in the econometric approach to missing data problems. Data can be missing because an individual failed to answer a question or because the laws of nature imply that an individual can only follow one of several possible paths. We refer to the first case as one of missing observations and to the second case as one of unobserved outcomes. This volume reflects the fact that econometricians have been very active in the development and use of methods for unobserved outcomes. The huge interest in these methods caused the volume to be split into parts A and B. The 12 chapters in Part A discuss cross-sectional methods. All the papers either derive, survey, or evaluate new methods for handling missing-data problems. Per the current interest in econometrics, 11 of the 12 papers address unobserved-outcome problems. The 4 chapters in Part B discuss time-series methods. Two chapters comprehensively survey the use of Markov switching models in finance. The third chapter surveys discrete-time and continuous-time models for volatility. The fourth chapter derives a new imputation method for nonstationary panel-data models and compares it to existing methods.

The Handbook of U.S. Labor Statistics is recognized as an authoritative resource on the U.S. labor force. It continues and enhances the Bureau of Labor Statistics's (BLS) discontinued publication, Labor Statistics. It allows the user to understand recent developments as well as to compare today's economy with past history. This edition examines the impact that COVID-19 had on the labor market throughout 2020. Specifically, it discusses the sharp decline in employment, the rise of telework, and information on how Americans used their stimulus payments. In addition, this edition includes a completely updated chapter on prices and inflation. The Handbook is a comprehensive reference providing an abundance of data on a variety of topics including: Employment and unemployment; Earnings; Prices; Productivity; Consumer expenditures; Occupational safety and health; Union membership; Working poor Recent trends in the labor force And much more! Features of the publication In addition to over 215 tables that present practical data, the Handbook provides: Introductory material for each chapter that contains highlights of salient data and figures that call attention to noteworthy trends in the data Notes and definitions, which contain concise descriptions of the data sources, concepts, definitions, and methodology from which the data are derived References to more comprehensive reports which provide additional data and more extensive descriptions of estimation methods, sampling, and reliability measures

Dieses Buch vermittelt anschaulich und leicht verstandlich die Grundlagen der Wirtschaftsstatistik (Mathematische Voraussetzungen, Beschreibende und Schliessende Statistik, Datenanalyse), die fur empirische Aufgabenstellungen, Datenaufbereitung, Ergebnisinterpretation und den Einsatz von Statistikprogrammen wie SPSS, Excel und NSDstat notwendig sind.
Die relevanten Konzepte und Verfahren werden im Rahmen konkreter, praxisbezogener Datenanalysen vorgestellt. Ausfuhrliche Ubungsaufgaben am jeweiligen Kapitelende und Musterlosungen im Anhang ermoglichen ein effizientes Selbststudium sowie eine erfolgreiche Prufungsvorbereitung. Die korrigierte 3. Auflage wurde sorgfaltig durchgesehen und uberarbeitet

1. This book is applicable to courses across the social and behavioral science on a wide range of quantitative methods courses. 2. The book is based solely on Stata for EFA - one of the top statistics software packages used in behavioral and social sciences. 3. Clear step-by-step guidance combined with screen shots to show how to apply EFA to real data.

Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not its exact value. Random set theory provides a coherent mathematical framework to conduct identification analysis and statistical inference in this setting and has become a fundamental tool in econometrics and finance. This is the first book dedicated to the use of the theory in econometrics, written to be accessible for readers without a background in pure mathematics. Molchanov and Molinari define the basics of the theory and illustrate the mathematical concepts by their application in the analysis of econometric models. The book includes sets of exercises to accompany each chapter as well as examples to help readers apply the theory effectively.

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.

The publication contains detailed official national accounts data for over 200 countries or areas of the World for the years 2001 to 2012. It is a valuable source of information on the state and structure of economies worldwide. The data for each country or area are presented in separate chapters with uniform table headings and classifications as recommended in the System of National Accounts 1993 (1993 SNA). Each country chapter also contains a write-up on the methodology and data sources which are used to compile the national accounts. A summary of the SNA conceptual framework, classifications, definitions, is also included in the publication. It contains statistics on gross domestic product by expenditure at current and constant prices and the relations among product, income, saving and net lending; value added by kind of activity at current and constant prices, and output, gross value added and fixed assets by industry; classification of consumption expenditure of general government, households, and non-profit institutions serving households according to purpose; production account through the financial account for the institutional sectors; and cross classification of gross value added by industry and institutional sector.

The demand for high quality detailed public finance statistics covering a globally representative sample of countries has increased dramatically during the recent financial crisis. Due to the complexity of public finance statistics, however, such data tend to be either available in oversimplified high level aggregates and lacking in methodological transparency, or, available with a great level of detail and a unified methodological approach yet overly complicated to understand. The IMF's Government Finance Statistics Yearbook shows fiscal data of around 140 countries following the Government Finance Statistics Manual 2001 framework. The associated database includes data series covering over an almost 40 year period. The IMF's Statistics Department embarked on several initiatives to improve its accessibility