A model for the prediction of advancements in the Navy enlisted force
Milch, Paul R.
MetadataShow full item record
A modified regression model was found to be sufficiently accurate to predict advancements by LOS using the volume of advancements and the inventory by LOS as predictor variables. This model was then used to find a relationship between the mean LOS of advancements and the volume of advancements. Such a relationship was not readily verifiable from the data. Some what contrary to expectation, it was found that the mean LOS of advancements may be either a decreasing or an increasing function of volume. Whether it is the former or the latter depends on the pay grade, rating and fiscal year in question. A possible explanation for both the decreasing and increasing type of behavior is also offered
NPS Report NumberNPS55Mh76061
Showing items related by title, author, creator and subject.
Milch, Paul R. (Monterey, California. Naval Postgraduate School, 1976-12); NPS55Mh76121A previous study, using regression analysis, established the relationship between the LOS distribution of advancements and the volume of advancements for three ratings of the Navy Enlisted Force. This relationship was the ...
The establishment of a new method of estimating the number of advancements in the Navy enlisted force Milch, Paul R. (Monterey, California. Naval Postgraduate School, 1978-02); NPS-55-78-6A model developed recently uses regression and analytic techniques to estimate the length of service (LOS) distribution of advancements in the Navy Enlisted Force by pay grade and rating. The distribution is a function of ...
Tuggle, Todd T. (Monterey, California: Naval Postgraduate School, 2016-03);Every day throughout the country, fire departments respond to a variety of emergencies in their communities. Steadily over the last decade, departments have mitigated these threats in an atmosphere of decreasing budgets, ...