Statistics ANOVA and related Multiple imputation Basic statistics Multivariate analysis of variance and Binary outcomes related techniques Categorical outcomes Nonlinear regression Censored and truncated regression models Nonparametric statistics Cluster analysis Ordinal outcomes Correspondence analysis Other statistics Count outcomes Pharmacokinetic statistics Discriminant analysis Power and s...

A general framework is presented for recursive computation of image local statistics in sliding window of almost arbitrary shape with “per-pixel” computational complexity substantially lower than the window size. As special cases, recursive algorithms are described for computing image local statistics such as local mean, local variance, local kurtosis, local order statistics (minimum, maximum, ...

in order to study genotype  environment interaction (g  e) and to identify high yielding and stable genotypes, 17 safflower (carthamus tinctorius l.) genotypes were evaluated in a randomized complete block design with 3 replications, at 9 research stations during four consecutive cropping seasons (2003–06) under rainfed conditions. on the basis of ammi analysis of variance, effects of genotyp...

It is not an overstatement to say that statistics is based on various transformations of data. Basic statistical summaries such as the sample mean, variance, z-scores, histograms, etc., are all transformed data. Some more advanced summaries, such as principal components, periodograms, empirical characteristic functions, etc., are also examples of transformed data. To give a just coverage of tra...

The capacity (the maximum number of users per sector that the system can support) and the interference statistics (expected value and variance) of sectors composed of cigar-shaped WCDMA microcells are studied. A model of 5 microcells is used to analyze the uplink capacity and interference statistics. The microcells are assumed to exist in rural zone highways. The capacity and the interference s...

Descriptive statistics is the process of summarizing gathered raw data from a research and creating useful statistics, which help the better understanding of data. According to the types of variables, which consist of qualitative and quantitative variables, some descriptive statistics have been introduced. Frequency percentage is used in qualitative data, and mean, median, mode, standard deviat...

A novel method for estimating the variance and standard deviation of the additive white Gaussian noise contained in an image will be presented. Only a single image is used to estimate the noise properties. Local image outliers are discarded, this allows us to separate the additive zero mean white Gaussian noise contained in a noisy image from the original image structure. Local variance estimat...