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

Statistical Methods

Bourgault phosphorus trials

Non-Peer Reviewe

VICS in Ethiopia

Nurse, Midwife, Clinic Supervisor Says Goodby

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

The Marginal Distribution Function of Threshold-type Processes with Central Symmetric Innovations

This paper addresses the problem of finding exact and explicit (closed-form) expressions for the stationary marginal distribution of threshold-type time series processes, their associated moments, autocovariance and autocorrelation coefficients. The innovation process of the models under consideration follow three central symmetric distribution functions: Gaussian, Laplace, and Cauchy. Theoretical results for both two- and three regime threshold-type models are derived. Various examples give rise to a deeper understanding of certain features of the stationary process structure. Exact results for the stationary density, central moments, and autocorrelations of threshold-type processes are compared with approximate density and moment results obtained through an existing numerical method