Probability analysis of sequential SCFE (PASS score)
نویسندگان
چکیده
منابع مشابه
analysis of ruin probability for insurance companies using markov chain
در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولThe Ranked Probability Score and the Probability Score: a Comparison
In this paper, we compare the ranked probability score (RPS) and the probability score (PS) and examine the nature of the sensitivity of the RPS to distance. First, we briefly describe the nature of and the relationship between the frameworks within which the RPS and the PS were formulated. Second, we considsr certain properties of the RPS and the PS including their range, their values for cate...
متن کاملProcess Capability Analysis via Continuous Ranked Probability Score
Process capability analysis is an important aspect of quality control. Various process capability indices are proposed when the distribution is normal. For non-normal cases, percentile and yield-based indices have been introduced. These two methods use partial features of a process distribution, such as key percentiles and the proportion of non-conforming (PNC) to estimate the process capabilit...
متن کاملOPTIMALITY ANALYSIS OF SEQUENTIAL PROBABILITY RATIO TEST Strictly Optimal Sequential Tests
The sequential probability ratio test (SPRT) is asymptotically optimal in the speed versus accuracy tradeoff (SAT) for problems such as visual search (Ch. 3) and scotopic object recognition (Ch. 4), but how close to optimal is SPRT in the nonasymptotic case, i.e. when the cost of error η or the expected response time is small? We numerically compare SPRT and the optimal strategy on the homogene...
متن کاملSequential Updating Conditional Probability in Bayesian Networks by Posterior Probability
The Bayesian network is a powerful knowledge representation formalism; it is also capable of improving its precision through experience. Spiegelhalter et al. [1989] proposed a procedure for sequential updating forward conditional probabilities (FCP) in Bayesian networks of diameter 1 with a single parent node. The procedure assumes certainty for each diagnosis which is not practical for many ap...
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 Children's Orthopaedics
سال: 2020
ISSN: 1863-2521,1863-2548
DOI: 10.1302/1863-2548.14.200080