Econometrics and economic statistics

The author examines the measurement and conceptual issues that complicate analytical work in the energy demand field.

This factbook provides an overview of China's consumers, their incomes, and the goods and services on which they spend their money.

This book provides an overview of macroeconometric modeling for less developed countries, a description of the structure and performance of Guyana's economy, an empirical testing of the model using annual data for Guyana, and a simulation approach to policy evaluation.

This book discusses recent developments in Input-Output (I/O) models for microcomputers and applications of I/O models in regional studies.

Are the poor, as one writer suggests, only those without enough to eat?

This book considers the issue of regional exposure to external economic events, exploring the role of trade in the performance of American states.

While growth figures are high for Soviet industry in general, they are especially impressive for the MBMW sector which has far outperformed other sectors of the economy.

This book contains the most complete set of the Chinese national income and its components based on system of national accounts.

This book discusses the methods used to create quality of the life indexes.

This book provides an overview of macroeconometric modeling for less developed countries, a description of the structure and performance of Guyana's economy, an empirical testing of the model using annual data for Guyana, and a simulation approach to policy evaluation.

This factbook provides an overview of China's consumers, their incomes, and the goods and services on which they spend their money.

The author examines the measurement and conceptual issues that complicate analytical work in the energy demand field.

This book discusses recent developments in Input-Output (I/O) models for microcomputers and applications of I/O models in regional studies.

Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data.

Winner of the 2024 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA)Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data.

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others.

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others.

From a review of the first edition: "e;Modern Data Science with R.

This book introduces readers to the world of international financial markets and their integration on a global and regional scale.

This book analyses the household demand for consumer goods using a diverse database, consisting of 45 developed and developing countries.

This book analyses the household demand for consumer goods using a diverse database, consisting of 45 developed and developing countries.

This book introduces readers to the world of international financial markets and their integration on a global and regional scale.

From a review of the first edition: "e;Modern Data Science with R.

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data.

The book's website (with databases and other support materials) can be accessed here.

The book's website (with databases and other support materials) can be accessed here.

Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more.

This book provides a synthesis of some recent issues and an up-to-date treatment of some of the major important issues in distributional analysis that I have covered in my previous book Ethical Social Index Numbers, which was widely accepted by students, teachers, researchers and practitioners in the area.

"e;Mathematical Optimization and Economic Analysis"e; is a self-contained introduction to various optimization techniques used in economic modeling and analysis such as geometric, linear, and convex programming and data envelopment analysis.

This book gives you a step-by-step introduction to analysing time series using the open source software R.

Managers are often under great pressure to improve the performance of their organizations.

This book will be a valuable reference for researchers in the eare of nonparametrics.

R is a language and environment for data analysis and graphics.

Financial globalization has increased the significance of methods used in the evaluation of country risk, one of the major research topics in economics and finance.

The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics.

Stochastic di?

One of the "e;image"e; problems with wavelets is that because they have been a dominant area of interest (in nonparametric smoothing) people have forgotten that they are general tools with a fascinating role and future in other areas.

We began writing this book in parallel with developing software for handling and analysing spatial data withR (R Development Core Team, 2008).

One of the most pressing problems in today's health care system is performance evaluation.

Feasibility and Infeasibility in Optimization is an expository book focused on practical algorithms related to feasibility and infeasibility in optimization.

Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios.

Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data.

A wide variety of processes occur on multiple scales, either naturally or as a consequence of measurement.

Recurrent event data arise in diverse fields such as medicine, public health, insurance, social science, economics, manufacturing and reliability.

Amongmanyexcitingdevelopmentsinstatisticsoverthelasttwodecades, nonlineartimeseriesanddata-analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths.

Jean-Jacques Rousseau wrote in the Preface to his famous Discourse on Inequality that "e;I consider the subject of the following discourse as one of the most interesting questions philosophy can propose, and unhappily for us, one of the most thorny that philosophers can have to solve.

DEA is computational at its core and this book will be one of several books that we will look to publish on the computational aspects of DEA.

This is the second volume of a text on the theory and practice of maximum penalized likelihood estimation.