NEWSLETTERS SERIES

Brand Owner (click to sort) Address Description
CALL CENTER MANAGEMENT REVIEW UBM 2 Penn Plaza, 15th Floor New York NY 10121 Newsletters and a series of non-fiction books pertaining to telephone call centers and other specialized telecommunications applications;REVIEW;
HEALTHINFORM Page, Kate c/o HealthInform Inc. P.O. Box 306 Montrose NY 10548 Newsletters and a series of non-fiction books in the field of alternative medicine;HEALTH INFORM;
HEALTHINFORM Gotkin, Janet c/o HealthInform Inc. P.O. Box 306 Montrose NY 10548 Newsletters and a series of non-fiction books in the field of alternative medicine;HEALTH INFORM;
LOW-FAT LIVING RODALE PRESS, INC. Emmaus PA newsletters and a series of books in the field of health, fitness and lifestyles;LOW FAT LIVING;LOW-FAT;
QUEEN OF CLEAN QOC, INC. 22814 N. 32nd Avenue Phoenix AZ 85027 Newsletters and a series of books all featuring information on cleaning, cleaning suggestions, cleaning formulas;
THE HOME TEAM Scott and Shirley Gregory Partnership, The P.O. Box 3834 Naperville IL 605673834 newsletters and a series of non-fiction books featuring home business, relationships, self-help and lifestyle topics, as well as written reports in the same topic areas that would be sold to consumers for educational and/or entertainment purposes;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A method of predicting the performance of a financial variable having corresponding financial parameters represented by time series of adjacent-in-time series terms. Differential series are calculated from adjacent series terms in the financial parameter series and term trends of upward, downward and unchanged trends are then located. Cumulative variations of the term trends are calculated and are then used to identify a series of sign state progressions. A time position for a select financial parameter series term is then selected and terms in the differential series, cumulative variation series and sign state series corresponding to the time position are located. The series terms are then searched to locate prior time positions where similar term values and trends occurred. Once the prior time positions are located, the series values at time positions subsequent to the located time positions are used as a forecast for the performance of the financial variable.