Evaluating Algorithm Efficiency for Optimizing Experimental Designs with Correlated Data

Evaluating the efficiency of bank branches with random data

Data Envelopment Analysis (DEA) is a mathematic technique to evaluate the relative efficiency of a group of homogeneous decision making units (DMUs) with multiple inputs and outputs. The efficiency of each unit is measured based on its distance to the production possibility set (PPS). In this paper, the BCC model is used in output-oriented. The average return on profit as output and the covaria...

Secondary Model Developed for Weight Selective in Evaluating the Efficiency of Cross-DEA with Fuzzy Data

Experimental and quasi-experimental designs for evaluating guideline implementation strategies.

The choice of study design for guideline implementation studies will determine the confidence with which the observed effects can be attributed to the interventions under study. In general, cluster randomized trials, of which there are different types, provide the most robust design. However, the use of these designs has implications for the power, conduct and analysis of studies. Wherever poss...

Evaluating the efficiency of targeted designs for randomized clinical trials.

PURPOSE Genomic technologies make it increasingly possible to identify patients most likely to benefit from a molecularly targeted drug. This creates the opportunity to conduct targeted clinical trials with eligibility restricted to patients predicted to be responsive to the drug. EXPERIMENTAL DESIGN We evaluated the relative efficiency of a targeted clinical trial design to an untargeted des...

Allocation Algorithm for Optimizing MC-CDMA Over Correlated Channel

In this paper, we address the problem of MAI (Multiple Access Interference) degrading the performance of a downlink MC-CDMA system in a frequency selective fading channel. Our objective is to develop a code allocation strategy subject to use any code family and any equalizer. This allocation problem is formulated as a minimization problem of a cost function related to MAI. Firstly, we build the...