Editorial: Negative and positive data, statistical power, and confidence intervals

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Negative and positive data, statistical power, and confidence intervals.

What is negative about negative data? Scientists understand negative data from our training in data analysis and statistics, where we use a positive concept of negative data. Negative data are data that do not enable us to reject our null hypothesis. Such data are often difficult to publish because it is not possible to prove the null hypothesis. Every active research scientist has a large draw...

متن کامل

The Power of Confidence Intervals

We connect the power of Confidence Intervals in different Frequentist methods to their reliability. We show that in the case of a bounded parameter a biased method which near the boundary has large power in testing the parameter against larger alternatives and small power in testing the parameter against smaller alternatives is desirable. Considering the recently proposed methods with correct c...

متن کامل

Image Segmentation Based on Statistical Confidence Intervals

Image segmentation is defined as a partition realized to an image into homogeneous regions to modify it into something that is more meaningful and softer to examine. Although several segmentation approaches have been proposed recently, in this paper, we develop a new image segmentation method based on the statistical confidence interval tool along with the well-known Otsu algorithm. According t...

متن کامل

Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals

*A portion of the royalties from the sale of this book are contributed to the SIAM student travel fund. Visit www.siam.org/catalog for more books and to order online.

متن کامل

Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models

Fitting high-dimensional statistical models often requires the use of non-linear parameter estimation procedures. As a consequence, it is generally impossible to obtain an exact characterization of the probability distribution of the parameter estimates. This in turn implies that it is extremely challenging to quantify the uncertainty associated with a certain parameter estimate. Concretely, no...

متن کامل

ذخیره 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: Environmental Biosafety Research

سال: 2003

ISSN: 1635-7922,1635-7930

DOI: 10.1051/ebr:2003008