The phrase "at a selected probability" is correct and usable in written English.
It can be used in contexts involving statistics, risk assessment, or decision-making where a specific probability is chosen for analysis or action.
Example: "The experiment was designed to yield results at a selected probability of 0.95, ensuring a high level of confidence in the findings."
Alternatives: "at a chosen probability" or "at a specified probability".
Response surface methodology pointed out several significant interaction effects, and with Monte-Carlo simulations led to map out the design space at a selected probability level.
Response Surface Methodology pointed out the presence of several significant interaction effects, and with the support of Monte-Carlo simulations led to map out the design space, at a selected probability level, for the desired CMAs.
This information yields the mean and the standard deviation of the sample peaks, which are then used to determine the extreme coefficients associated at any selected probability level of non-exceedence.
Whenever the squared Mahalanobis distance of a specific sample is smaller than the critical value (a sample that falls inside the closed boundary), the sample is recognised as 'compliant' with the class model, at a selected confidence probability.
The quality of soil maps can best be estimated by collecting additional data at locations selected by probability sampling.
The ARIC Study is a prospective longitudinal investigation of the development of atherosclerosis and its clinical sequelae involving 15,792 individuals aged 45 to 64 years at baseline selected by probability sampling from four communities in the United States.
A binary hypothesis test with a selected false alarm rate is used to assess the probability that an intersection exists at the point(s) of minimum distance.
Given a household is selected the probability a person is selected is 1 N jh.
First, clusters that corresponded with the SEAs at the district were selected using probability proportional to size.
For each, an age-stratified random sample of women with breast cancer at any time was selected, with selection probabilities proportional to the size of the age strata.
In the k-EC scheme [15], the optimal values of m and k are 3 and 7, respectively, allowing a unique helper to be selected with probability of at least 97.7% in the case of 100 contending nodes and network throughput to be maximized for most cases in real networks.
