نتایج جستجو برای: parametric or non
تعداد نتایج: 4433239 فیلتر نتایج به سال:
the discharge data used for hydrological modeling should be the long-term suitable random data without trend and jump which is followed a specific statistical distribution. in this study, the above mentioned conditions were evaluated for 31 years period (1974-2004) of annual mean discharge data of 10 gauging stations of west azarbaijan province. for this purpose, the non-parametric spearman cor...
Introduction: Breast cancer is the most common cancer in women. An accurate and reliable system for early diagnosis of benign or malignant tumors seems necessary. We can design new methods using the results of FNA and data mining and machine learning techniques for early diagnosis of breast cancer which able to detection of breast cancer with high accuracy. Materials and Methods: In this study,...
In most genomic prediction studies only additive effects will be used in models for estimating genomic breeding values (GEBV). However, dominance genetic effects are an important source of variation for complex traits, considering them into account may improve the accuracy of GEBV. In the present study, performed applying simulated data, the effect of different heritability values (0.1...
The Standardized Precipitation Index (SPI) is the most common index for drought monitoring. Although the calculation of this index is usually done by using the gamma distribution fitting of precipitation data, studies have shown that for accurate monitoring of drought, the optimal distribution of precipitation in each month should be determined. On the other hand, in non-stationary time series,...
Acceptance sampling is one of the main parts of the statistical quality control. It is primarily used for the inspection of incoming or outgoing lots. Acceptance sampling procedures can be used in an acceptance control program to reach better quality with lower expenses, improvement of the control and the increase of efficiency. The aims of this paper, studying acceptance sampling based on non-...
Assumption for 1 sample T test: Data are normally distributed. We have discussed in the last article on how to check the normality assumption of a quantitative data. One issue being highlighted was that these formal normality tests are very sensitive to the sample size of the variable concerned. As seen here, table II shows that the normality assumptions for both the systolic and diastolic bloo...
The contrast is exemplified by the following classification task. Let’s assume that we are given data, X , i.e. the observed variable and we want to determine its class label, Y, the unobserved (target) variable. A generative classifier, such as Naive Bayes, makes use of the joint distribution of X and Y, i.e. P(X ,Y) to perform this inference. While a discriminative classifier, such as a Logis...
The conditional parametric model is an extension of the well known linear regression model, obtained by replacing the parameters by smooth functions. Estimation in such models may be accomplished by fitting a, possibly larger, linear model locally to some explanatory variable(s). In this report the conditional parametric model is described together with a method of estimation. An S-PLUS / R imp...
it is not possible to understand developments of a country’s culture and civilization without knowing his believes and myths. whether it is north or south, east or west, planes or mountains, sahara or deserts, here in iran every corner includes valuable and precious treasures which are known all over the world, and cultural – historical objects which are found here adorn all well known museums...
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