Statistical hypothesis testing by weak-value amplification: Proposal and evaluation
نویسندگان
چکیده
منابع مشابه
Entanglement-assisted weak value amplification.
Large weak values have been used to amplify the sensitivity of a linear response signal for detecting changes in a small parameter, which has also enabled a simple method for precise parameter estimation. However, producing a large weak value requires a low postselection probability for an ancilla degree of freedom, which limits the utility of the technique. We propose an improvement to this me...
متن کاملStatistical Hypothesis Testing Basics
1 From the Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Mass (K.H.Z., J.R.F., S.G.S., C.M.C.T.); and Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA 02115 (K.H.Z.). Received September 10, 2001; revision requested November 8; revision received December 12; accepted December 19. Supported in part by Public Health Ser...
متن کاملPitfalls of statistical hypothesis testing: multiple testing.
The word " five " is missing from the third sentence of the fifth paragraph in the online answers to this Endgames article by Philip Sedgwick (BMJ 2014;349:g5310, doi:10.1136/bmj. g5310). The sentence should have read: " For example, the probability of a significant result when there are two, three, four, and five hypothesis tests is 0.
متن کاملStatistical Hypothesis Testing and Private Information∗
This paper provides a rationalization for using classical one-sided hypothesis tests for approving innovations, such as new drugs or treatment programs. I consider statistical testing as a strategy of the regulator in a game against informed proponents who can profit from the regulator’s acceptance decision even for ineffective innovations. Lower test size deters proponents from attempting cost...
متن کاملStatistical significance and statistical power in hypothesis testing.
Experimental design requires estimation of the sample size required to produce a meaningful conclusion. Often, experimental results are performed with sample sizes which are inappropriate to adequately support the conclusions made. In this paper, two factors which are involved in sample size estimation are detailed--namely type I (alpha) and type II (beta) error. Type I error can be considered ...
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: Physical Review A
سال: 2015
ISSN: 1050-2947,1094-1622
DOI: 10.1103/physreva.92.012112