Industry Implementación de la estadística en los negocios y la industria

Statisticians have devised many tools for application and these are available to be utilized for general business improvement and industrial problem solving. However, there is a wide gap between the available tools and what are practiced in business and industrial organizations. Thus it is important for statisticians to direct serious attention to bridging this gap if statistics is to be relevant in business and industry and to the society at large. In this paper we look at some ideas for implementation of statistical methods in business and industry

Implementation of Statistics in Business and Industry Implementación de la estadística en los negocios y la industria

Statisticians have devised many tools for application and these are available to be utilized for general business improvement and industrial problem solving. However, there is a wide gap between the available tools and what are practiced in business and industrial organizations. Thus it is important for statisticians to direct serious attention to bridging this gap if statistics is to be relevant in business and industry and to the society at large. In this paper we look at some ideas for implementation of statistical methods in business and industry.Los estadísticos han desarrollado muchas herramientas para su aplicación en problemas prácticos. Estas herramientas están disponibles para ser utilizadas en el mejoramiento de los negocios en general y para solucionar problemas industriales. Sin embargo, existe una brecha entre las herramientas disponibles y las que utilizan las organizaciones industriales y de negocios. Por tanto, es importante que los estadísticos dirijan su atención a disminuir esta brecha si se quiere que la estadística sea relevante en los negocios, la industria y en general en la sociedad. En este artículo se presentan algunas ideas para la aplicación apropiada de métodos estadísticos en los negocios y la industria

Implementación de la estadística en los negocios y la industria

Los estadísticos han desarrollado muchas herramientas para su aplicación en problemas prácticos. Estas herramientas están disponibles para ser utilizadas en el mejoramiento de los negocios en general y para solucionar problemas industriales. Sin embargo, existe una brecha entre las herramientas disponibles y las que utilizan las organizaciones industriales y de negocios. Por tanto, es importante que los estadísticos dirijan su atención a disminuir esta brecha si se quiere que la estadística sea relevante en los negocios, la industria y en general en la sociedad. En este artículo se presentan algunas ideas para la aplicación apropiada de métodos estadísticos en los negocios y la industria.Statisticians have devised many tools for application and these are available to be utilized for general business improvement and industrial problem solving. However, there is a wide gap between the available tools and what are practiced in business and industrial organizations. Thus it is important for statisticians to direct serious attention to bridging this gap if statistics is to be relevant in business and industry and to the society at large. In this paper we look at some ideas for implementation of statistical methods in business and industry

Statistical methods for forecasting

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists."This book, it must be said, lives up to the words on its advertising cover: ''Bridging the gap between introductory, descriptive approaches and highly advanced theoretical treatises, it provides a practical, intermediate level discussion of a variety of forecasting tools, and explains how they relate to one another, both in theory and practice.'' It does just that!"-Journal of the Royal Statistical Society"A well-written work that deals with statistical methods and models that can be used to produce short-term forecasts, this book has wide-ranging applications. It could be used in the context of a study of regression, forecasting, and time series analysis by PhD students; or to support a concentration in quantitative methods for MBA students; or as a work in applied statistics for advanced undergraduates."-ChoiceStatistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government

A nonlinear time series model and estimation of missing observations

Kalman filter, missing observations, nonlinear time series, optimal estimation, robustness,