Optimal parameter estimation with a fixed rate of abstention

Determination of Optimal ValveTiming for Internal Combustion Engines Using Parameter Estimation Method

BLIND PARAMETER ESTIMATION OF A RATE k/n CONVOLUTIONAL CODE IN NOISELESS CASE

This paper concerns to blind identification of a convolutional code with desired rate in a noiseless transmission scenario. To the best of our knowledge, blind estimation of convolutional code based on only the received bitstream doesn’t lead to a unique solution. Hence, without loss of generality, we will assume that the transmitter employs a non-catastrophic encoder. Moreover, we consider a c...

Sequential estimation of linear combinations of the location and scale parameters in negative exponential distribution

Sequential estimation is used where the total sample size is not fix and the problem cannot solve with this fixed sample size. Sequentially estimating the mean in an exponential distribution (one and two parameter), is an important problem which has attracted attentions from authors over the years. These largely addressed an exponential distribution involving a single or two parameters. In t...

Inference on Pr(X > Y ) Based on Record Values From the Power Hazard Rate Distribution

In this article, we consider the problem of estimating the stress-strength reliability $Pr (X > Y)$ based on upper record values when $X$ and $Y$ are two independent but not identically distributed random variables from the power hazard rate distribution with common scale parameter $k$. When the parameter $k$ is known, the maximum likelihood estimator (MLE), the approximate Bayes estimator and ...

Classic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data

Introduction      In classical methods of statistics, the parameter of interest is estimated based on a random sample using natural estimators such as maximum likelihood or unbiased estimators (sample information). In practice,  the researcher has a prior information about the parameter in the form of a point guess value. Information in the guess value is called as nonsample information. Thomp...