أدخل كلمة أو عبارة بأي لغة 👆
اللغة:
ترجمة وتحليل الكلمات عن طريق الذكاء الاصطناعي ChatGPT
في هذه الصفحة يمكنك الحصول على تحليل مفصل لكلمة أو عبارة باستخدام أفضل تقنيات الذكاء الاصطناعي المتوفرة اليوم:
- كيف يتم استخدام الكلمة في اللغة
- تردد الكلمة
- ما إذا كانت الكلمة تستخدم في كثير من الأحيان في اللغة المنطوقة أو المكتوبة
- خيارات الترجمة إلى الروسية أو الإسبانية، على التوالي
- أمثلة على استخدام الكلمة (عدة عبارات مع الترجمة)
- أصل الكلمة
%ما هو (من)٪ 1 - تعريف
Yates' chi-square test; Yates correction; Yates' correction for continuity; Yates continuity correction; Yates' continuity correction; Yates's continuity correction
Color correction
PROCESS USED IN STAGE LIGHTING, PHOTOGRAPHY, TELEVISION, CINEMATOGRAPHY, AND OTHER DISCIPLINES, WHICH USES COLOR GELS, OR FILTERS, TO ALTER THE OVERALL COLOR OF THE LIGHT
Colour correction; Color correction filter; Color Temperature Orange; Correct To Orange; Color-correction filter; Color correction gel; Color-correction gel
Color correction is a process used in stage lighting, photography, television, cinematography, and other disciplines, which uses color gels, or filters, to alter the overall color of the light. Typically the light color is measured on a scale known as color temperature, as well as along a light yellow –light blue axis orthogonal to the color temperature axis.
Šidák correction
MULITPLE COMPARISONS CORRECTION
Sidak correction; Sidak method
In statistics, the Šidák correction, or Dunn–Šidák correction, is a method used to counteract the problem of multiple comparisons. It is a simple method to control the familywise error rate.
Greenhouse–Geisser correction
CORRECTION FOR LACK OF SPHERICITY
Greenhouse-Geisser correction
The Greenhouse–Geisser correction \widehat{\varepsilon} is a statistical method of adjusting for lack of sphericity in a repeated measures ANOVA. The correction functions as both an estimate of epsilon (sphericity) and a correction for lack of sphericity.
ويكيبيديا
Yates's correction for continuity
In statistics, Yates's correction for continuity (or Yates's chi-squared test) is used in certain situations when testing for independence in a contingency table. It aims at correcting the error introduced by assuming that the discrete probabilities of frequencies in the table can be approximated by a continuous distribution (chi-squared). In some cases, Yates's correction may adjust too far, and so its current use is limited.
