A two-dimensional Kolmorogov-Smirnov test for binned data.
نویسنده
چکیده
A new two-dimensional version of the Kolmorogov-Smirnov test has been developed for the testing of data which has been placed in a two-dimensional array of bins. Monte Carlo testing has been used to derive the test statistics for 8 x 8, 16 x 16 and 32 x 32 arrays. The predicted probabilities for non-square arrays and arrays with intermediate numbers of elements are compared to the probabilities derived from Monte Carlo testing. The new test is applied to two-dimensional histograms of movement vectors derived from electrical impedance images of the stomach.
منابع مشابه
Sar Surface Ice Cover Discrimination Using Distribution Matching
Discrimination between open water and sea ice in SAR imagery can still pose a problem to the ice analysts during manual interpretation. To help them in this task, new algorithm have been tested which is based on the user first manually identifying a particular surface type in a SAR image (e.g., open water area or sea ice of particular concentration or ice type) then the program will automatical...
متن کاملSmall Improvement to the Kolmogorov-Smirnov Test
The Kolmogorov-Smirnov (K-S) test is widely used as a goodness-of-fit test. This thesis consists of two parts to describe ways to improve the classical K-S test in both 1-dimensional and 2-dimensional data. The first part is about how to improve the accuracy of the classical K-S goodness-of-fit test in 1-dimensional data. We replace the p-values estimated by the asymptotic distribution with nea...
متن کاملThe construct of psychopathy in a Chilean prison population.
OBJECTIVE To test the four-factor model of the Hare Psychopathy Checklist - Revised (PCL-R) empirical construct of psychopathy in a Chilean prison population by using instruments that supply different types of data. METHODS Two hundred and nine male inmates of the Prison of Los Andes, Chile, were evaluated. Confirmatory factor analysis was carried out with the PCL-R and the Self-Report of Psy...
متن کاملA two - dimensional Kolmogorov – Smirnov test for crowded field source detection : ROSAT sources in NGC 6397
We present a two-dimensional version of the classical one-dimensional Kolmogorov– Smirnov (K-S) test, extending an earlier idea due to Peacock (1983) and an implementation proposed by Fasano & Franceschini (1987). The two-dimensional K-S test is used to optimise the goodness of fit in an iterative source-detection scheme for astronomical images. The method is applied to a ROSAT/HRI x-ray image ...
متن کاملA fast algorithm for two-dimensional Kolmogorov-Smirnov two sample tests
By using the brute force algorithm, the application of the two-dimensional two-sample Kolmogorov–Smirnov test can be prohibitively computationally expensive. Thus a fast algorithm for computing the two-sample Kolmogorov–Smirnov test statistic is proposed to alleviate this problem. The newly proposed algorithm is O(n) times more efficient than the brute force algorithm, where n is the sum of the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Physics in medicine and biology
دوره 41 1 شماره
صفحات -
تاریخ انتشار 1996