Higher order moments of bilinear time series processes with symmetrically distributed errors

Statistical Methods

25 Years of IIF Time Series Forecasting: A Selective Review

We review the past 25 years of time series research that has been published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982-1985; International Journal of Forecasting 1985-2005). During this period, over one third of all papers published in these journals concerned time series forecasting. We also review highly influential works on time series forecasting that have been published elsewhere during this period. Enormous progress has been made in many areas, but we find that there are a large number of topics in need of further development. We conclude with comments on possible future research directions in this field.Accuracy measures; ARCH model; ARIMA model; Combining; Count data; Densities; Exponential smoothing; Kalman Filter; Long memory; Multivariate; Neural nets; Nonlinearity; Prediction intervals; Regime switching models; Robustness; Seasonality; State space; Structural models; Transfer function; Univariate; VAR.

Bourgault phosphorus trials

Non-Peer Reviewe

VICS in Ethiopia

Nurse, Midwife, Clinic Supervisor Says Goodby

Efficient Estimation of an Additive Quantile Regression Model

In this paper two kernel-based nonparametric estimators are proposed for estimating the components of an additive quantile regression model. The first estimator is a computationally convenient approach which can be viewed as a viable alternative to the method of De Gooijer and Zerom (2003). With the aim to reduce variance of the first estimator, a second estimator is defined via sequential fitting of univariate local polynomial quantile smoothing for each additive component with the other additive components replaced by the corresponding estimates from the first estimator. The second estimator achieves oracle efficiency in the sense that each estimated additive component has the same variance as in the case when all other additive components were known. Asymptotic properties are derived for both estimators under dependent processes that are strictly stationary and absolutely regular. We also provide a demonstrative empirical application of additive quantile models to ambulance travel times.Additive models; Asymptotic properties; Dependent data; Internalized kernel smoothing; Local polynomial; Oracle efficiency

VICS — Celebrating 45 Years

At Work in South Sudan, Arie and Maragaretha SmitsA Social Justice Educator in Nicaragua, Juan Carlos Jimenez MarroquinVICS in Action: at Home and Overseas, Dan MilneDiscerning My Calling, Carolle DomenA VICS Experience in Canada, Wally and Beatrice DoepkerReturn to The Gambia, Del and Agnes RiederGrenada - The Isle of Spice - 22 Years Later, Kay Weersoriy

Computerized soil survey reports

Non-Peer ReviewedThe Computerized Soil Survey Reports are an initiative of the Saskatchewan Soil Survey to expand the use of soils information, by existing and potential users, through the use of computers and computer disks. Extending information in a computerized format presents a user with the option of obtaining the soils information required in a format other than the conventional printed report or map. The Soil Survey has been using micro computers for digitization, data management and laboratory analysis, resulting in most data being stored on electronic media allowing the use of computers to extend the collected information to users. A larger number of requests for information in an electronic format are now being received. In order to meet these needs, it was decided compliment the present written reports and paper maps with a computerized format of soil report which would enhance the access and use of presently collected data