Add to ORKGA typical problem in statistical inference is the following: An experimenter is confronted with a density function f(x; ϴ) which describes the underlying population of measurements. The form of f may or may not be known, and ϴ is a parameter (possibly vector-valued) which describes the population. The statistician\u27s job is to estimate or to test hypotheses about the unknown parameter ϴ. In this paper, we shall consider interval estimation of the mean of the normal density function
The problem of interval estimation of the common mean of several normal populations when the varianc...
In many practical applications in various areas, such as engineering, science and social science, it...
Normal approximation confidence intervals are used in most commercial sta-tistical package because t...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...
This paper presents three confidence intervals for the coefficient of variation in a normal distribu...
In this paper, we propose two new confidence intervals for the inverse of a normal mean with a known...
The natural parameter space is known to be bounded in many real applications such as engineering, sc...
In this paper we proposed the new confidence interval for the normal population mean with known coef...
When conducting research on a given type of patients, it is impossible to examine all the existing s...
Summary In frequentist inference, we commonly use a single point (point estimator) or an interval (c...
In this paper we proposed two new confidence intervals for the normal population mean with known coe...
The likelihood ratio method is used to construct a confidence interval for a population mean when sa...
Recent articles have addressed the problem to construct the confidence intervals for the mean of a n...
This note shows how to construct a 1 - ß level symmetric confidence interval for a normal mean ? tha...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
The problem of interval estimation of the common mean of several normal populations when the varianc...
In many practical applications in various areas, such as engineering, science and social science, it...
Normal approximation confidence intervals are used in most commercial sta-tistical package because t...
“The purpose of this thesis is to briefly review various properties which may be desirable for a sys...
This paper presents three confidence intervals for the coefficient of variation in a normal distribu...
In this paper, we propose two new confidence intervals for the inverse of a normal mean with a known...
The natural parameter space is known to be bounded in many real applications such as engineering, sc...
In this paper we proposed the new confidence interval for the normal population mean with known coef...
When conducting research on a given type of patients, it is impossible to examine all the existing s...
Summary In frequentist inference, we commonly use a single point (point estimator) or an interval (c...
In this paper we proposed two new confidence intervals for the normal population mean with known coe...
The likelihood ratio method is used to construct a confidence interval for a population mean when sa...
Recent articles have addressed the problem to construct the confidence intervals for the mean of a n...
This note shows how to construct a 1 - ß level symmetric confidence interval for a normal mean ? tha...
The coefficient of variation (CV) is a helpful quantity to describe the variation in evaluating resu...
The problem of interval estimation of the common mean of several normal populations when the varianc...
In many practical applications in various areas, such as engineering, science and social science, it...
Normal approximation confidence intervals are used in most commercial sta-tistical package because t...