Nanak Kakwani and Hyun Hwa Son make use of social welfare functions to derive indicators of development relevant to specific social objectives, such as poverty- and inequality-reduction.
Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled.
Das Arbeitsbuch behandelt einen Querschnitt mathematischer Themen, die bei Bachelorstudiengängen wie Betriebswirtschafts- und Volkswirtschaftslehre, aber auch bei interdisziplinären Studiengängen mit einem Wirtschaftsanteil, wie Sozialökonomie, benötigt werden.
Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years.
This book focuses on extending the models and theories (from a mathematical/statistical point of view) which were introduced in the first volume to a more technical level.
Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods.
The aim of this monograph is to give a unified account of the classical topics in fixed point theory that lie on the border-line of topology and non- linear functional analysis, emphasizing developments related to the Leray- Schauder theory.
Featuring international contributors from both industry and academia, Numerical Methods for Finance explores new and relevant numerical methods for the solution of practical problems in finance.
This book provides a guide to such budding social researchers, who are non-native English speakers drawing examples from literature to show how to conduct a research, present research results, integrate with existing literature to draw conclusions through real-world examples.
Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools.
Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study.
In dieser Einführung werden erstmals klassische Regressionsansätze und moderne nicht- und semiparametrische Methoden in einer integrierten, einheitlichen und anwendungsorientierten Form beschrieben.
A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics.
Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds.
From the late 1990s, the spectacular growth of a secondary market for credit through derivatives has been matched by the emergence of mathematical modelling analysing the credit risk embedded in these contracts.
Agricultural Co-operation in the Soviet Union (1929) examines agriculture in the USSR as the government was restructuring all national economic life and enterprise on a state socialist basis.
This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R.
Advanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the study of human performance.
This book contains a selection of the papers presented at the 24th Meeting of the Euro Working Group on Financial Modelling held in Valencia, Spain, on April 8-10, 1.
Handbook of the Economics of the Family, Volume One includes comprehensive surveys of the current state of the economics literaure in the field, prepared by leading scholars, with a particular empahsis on the most recent developments in each area.
This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation.
Productivity Accounting offers in-depth analysis of variation in business performance, providing an analytical framework which accounts for causes and consequences.
Showcasing fuzzy set theory, this book highlights the enormous potential of fuzzy logic in helping to analyse the complexity of a wide range of socio-economic patterns and behaviour.
