Approximate Bayesian Interval Estimation by Fuzszy Interval Data from Normal Population
نویسندگان
چکیده
منابع مشابه
Non-Bayesian Estimation and Prediction under Weibull Interval Censored Data
In this paper, a one-sample point predictor of the random variable X is studied. X is the occurrence of an event in any successive visits $L_i$ and $R_i$ :i=1,2…,n (interval censoring). Our proposed method is based on finding the expected value of the conditional distribution of X given $L_i$ and $R_i$ (i=1,2…,n). To make the desired prediction, our approach is on the basis of approximating the...
متن کاملApproximate Symbolic Analysis with Interval Error Estimation
The paper deals with an enhanced method for matrix-based approximate symbolic analysis. The method assures the validity of approximated expressions over a certain interval of network parameters by means of the sensitivity analysis. A computationally effective algorithm is presented. Key-Words: Approximate symbolic analysis, linear circuits, computer methods
متن کاملInterval estimation for the normal correlation coefficient
Inference concerning the correlation coefficient of two random variables from the bivariate normal distribution has been investigated by many authors. In particular, Fisher [1915. Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population. Biometrika 10, 507–521] and Hotelling [1953. New light on the correlation coefficient and its trans...
متن کاملBayesian analysis of clustered interval-censored data.
The recording of multiple interval-censored failure times is common in dental research. Modeling multilevel data has been a difficult task. This paper aims to use the Bayesian approach to analyze a set of multilevel clustered interval-censored data from a clinical study to investigate the effectiveness of silver diamine fluoride and sodium fluoride varnish in arresting active dentin caries in C...
متن کاملSieve Estimation with Bivariate Interval Censored Data
Bivariate interval censored data arises in many applications. However, both theoretical and computational investigations for this type of data are limited because of the complicated structure of bivariate censoring. In this paper, we propose a two-stage spline-based sieve estimator for the association between two event times with bivariate case 2 interval censored data. A smooth and explicit es...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Systems
سال: 1995
ISSN: 0915-647X,2432-9932
DOI: 10.3156/jfuzzy.7.4_786