Optimal Spacing in Regression Analysis

Optimal Prediction in Linear Regression Analysis

Expressions are derived for generalized ridge and ordinary ridge predictors that are optimal in terms of mean squared error of prediction (MSEP) for predicting the response at a single or at multiple future observation(s). Using the MSEP criterion, operational predictors are compared to the ordinary least squares (OLS) predictor and to several biased predictors derived from some popular biased ...

Optimal arrival traffic spacing via dynamic programming∗

We present the application of dynamic programming to a combinatorial optimization problem to achieve proper arrival runway spacing, which appears in the process of assigning speed during the transition to approach and approach phases of flight. We apply the algorithm to data from a fast-time simulation developed under NASA’s Advanced Air Transportation Technologies Project for investigating new...

Optimal Wire Spacing Under Cross Talk Constraints

Analysis of Birth Spacing Using Frailty Models

Background and objectives: Birth spacing is an important variable for identification of fertility acceleration, total fertility rate, and maternal and fetal health. Therefore, special attention has been paid to this issue by researchers in the fields of medical sciences, health, and population. In addition, proper analysis of this concept is of foremost importance. Application of classical anal...

Risk spreading, connectivity, and optimal reserve spacing.

Two important processes determining the dynamics of spatially structured populations are dispersal and the spatial covariance of demographic fluctuations. Spatially explicit approaches to conservation, such as reserve networks, must consider the tension between these two processes and reach a balance between distances near enough to maintain connectivity, but far enough to benefit from risk spr...