We propose a simple method that, given a symbol distribution, yields upper and lower bounds on the average code length of a D-ary optimal code over that distribution. Thanks to its simplicity, the method permits deriving analytical bounds for families of parametric distributions. We demonstrate this by obtaining new bounds, much better than the existing ones, for Zipf and exponential distributi...

— The objective of this work is to nd out optimum settings for a fractional PI D controller in order to ful l ve different design speci cations for the closed-loop system, taking advantage of the fractional orders, and . Since these fractional controllers have two parameters more than the conventional PID controller, two more speci cations can be met, improving the performance of the system. Fo...

A principal delegates R&D to an agent when the researcher’s actions are unobservable. The optimal contract for delegated R&D is shown to take the form of an option. The principal and the agent are risk neutral and the agent is subject to limited liability. The principal makes an implementation decision after observing the quality of the invention. The discussion considers experimental design wi...

We give two new D-optimal designs of order 110.

We develop a theory of optimal financing for R&D-intensive firms that uses their unique features—large capital outlays, long gestation periods, high upside, and low probabilities of R&D success—that explains three prominent stylized facts about these firms: their relatively low use of debt, large cash balances, and underinvestment in R&D. The model relies on the interaction of the unique featur...

Optimum scalar quantization is considered for the IIR filter and quantization system presented in "Power reduction in wireless receivers through multistage digital filtering and quantization" [1]. In [1], only suboptimum uniform quantization was used. An optimum scalar quantizer was constructed for a training sequence with a Signal to Interference ratio of −40dB, as was considered in extensivel...

D-optimality is one of the most commonly used design criteria for linear regression models. In industrial experiments binary or count data often arise, for example defective/nondefective or number of defects. For such data Generalized Linear Models (GLMs) are appropriate. An analogous D-optimality design criterion can be developed using the asymptotic covariance matrix. For GLMs, this matrix is...

Impressive development of computer networks has been required precise evaluation of efficiency of these networks for users and especially internet service providers. Considering the extent of these networks, there has been numerous factors affecting their performance and thoroughly investigation of these networks needs evaluation of the effective parameters by using suitable tools. There are se...

Vitamin D deficiency is one of the common nutritional deficiency and it exists in both childhood and adult life. The prevalence of vitamin D deficiency is 50-90 % in the Indian subcontinent. This was a cross sectional study which includes 96 apparently healthy school going children (50 Male & 46 Female) of age 5 to 10 years. We found that 33.33% (15 Male &17 Female) had vitamin D levels {25(OH)...