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Showing 1 to 20 of 300 for “"normal distribution"”.
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Rank correlation in a singly truncated bivariate normal distribution
… requiring no assumptions on the parent distribution of the observations. Later work considered the distributions of r<sub>S</sub> and r<sub>K</sub> when the parent distribution is the bivariate normal. This study is an investigation of the moments and related properties of Spearman's …
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Certain Minimax-Estimators of the Mean of a Multivariate Normal-Distribution
Made available in DSpace on 2014-12-11T18:24:08Z (GMT). No. of bitstreams: 1 7414519.pdf: 1525731 bytes, checksum: 4f6f5910ae08845bb0e832b5e7304960 (MD5) Previous issue date: 1974
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Two generalizations of the skew-normal distribution and two variants of McCarthy's theorem
… first and major part is concerned with the skew-normal distribution, introduced by Azzalini (1985) [6], while the second one is connected with the scoring rules. In part one the problem of finding confidence intervals for the skewness parameter of the skew-normal distribution is addressed. Two …
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Joint distribution of X and X(n) for a random sample from the standard normal distribution with applications to a variables sampling inspection procedure which guarantees acceptance of perfectly screened lots.
In this paper, tables of the joint distribution of the sample mean and the largest observation in a sample for a random sample from the standard normal distribution are presented for a variables sampling inspection procedure which guarantees acceptance of perfectly screened lots. The quality of …
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Modelling skewness in Financial data
The first systematic analysis of the skew-normal distribution in a scalar case is done by Azzalini (1985). Unlike most of the skewed distributions, the skew-normal distribution allows continuity of the passage from the normal distribution to the skew-normal distribution and is mathematically …
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Investigating the performance of process-observation-error-estimator and robust estimators in surplus production model: a simulation study
… process-observation-error-estimator with normal distribution (POE_N), observation-error-estimator with normal distribution (OE_N), and process-error-estimator with normal distribution (PE_N). The estimators with fat-tailed distributions including Student's t distribution and Cauchy …
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YSCAT Backscatter Distributions
… angle.</p> <p>A low wind speed "rolloff" of the normalized radar cross section (σ°) in YSCAT94 data is found and quantified. The rolloff wind speedΓ γΓ is estimated through regression estimation analysis using an Epanechnikov kernel. For YSCAT94 data, the rolloff is most noticeable at mid-range …
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An Investigation into the Analysis of Truncated Standard Normal Distributions Using Heuristic Techniques
<p>Standard normal distributions (SND) and truncated standard normal distributions (TSND) have been widely used and accepted methods to characterize the data sets in various engineering disciplines, financial industries, medical fields, management, and other mathematic and scientific applications. …
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The Statistical Exploration in the $G$-expectation Framework: The Pseudo Simulation and Estimation of Variance Uncertainty
… simulation, and estimation} of the $G$-normal distribution (a typical distribution with variance uncertainty) by constructing a new substructure called the emph{Semi-$G$-normal distribution} which provides the transition from classical normal to $G$-normal distribution. Interestingly, it …
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Alternative distributions in the Black-Litterman model of asset allocation
In this thesis we replace the normal distribution assumption in the calculation of the prior equilibrium returns used in the model with a more general distribution which captures the skewness and fat tails exhibited by stock data. We consider the á stable distributions as an alternative …
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Aspects of multivariate complex quadratic forms
In this study the distributional properties of certain multivariate complex quadratic forms and their characteristic roots are investigated. Multivariate complex distribution theory was originally introduced by Wooding (1956), Turin (1960) and Goodman (1963a) when they derived and studied the …
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Skew Normal Bayesian Asset Allocation
… asset allocation problem based on the skew-normal distribution assumption and extends the Bayesian asset allocation model obtained by assuming hidden truncation skew-normal returns. Hidden truncation model provides a flexible family of skewed alternatives to the classical k dimensional …
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The Uniform Convergence of Special Standardized Distributions
… uniform convergence of two special standardized distributions are examined. The Gamma distribution is standardized, and then the probability density function of the standardized Gamma distribution is shown to converge uniformly to the probability density function of the normal distribution. The …
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Convergence of Life History Phenotypes in Two Species of Topminnows, <i>Fundulus notatus</i> and <i>Fundulus olivaceus</i>
… are at least three known drainages where the normal distribution pattern is reversed, and <em>F. notatus</em> is found upstream of <em>F. olivaceus</em>. Divergent life history traits are displayed in drainages with the normal distribution pattern, leading to the prediction that life history …
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Estimating File Compressibility Using File Extensions
… This implies that the compression ratio distribution follows a normal distribution. Though a normal distribution of compression ratios may seem intuitive, this assumption lacks strong empirical supporting evidence. To test this assumption, we built a tool to compress real-world files from …
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Classification and discriminant analysis
… are presented especially for populations under a normal distribution. Three major techniques of classification and discriminant analysis are presented: linear discriminant analysis, quadratic discriminant procedures and logistic regression. Logistic regression is reviewed in its general framework …
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Investigating flavor quality and variances in F2 cucumber progenies using instrumental analysis
… constructed from AHC analysis. For texture, a normal distribution of hardness was observed with a range of 1.34N-57.26N and an average of 31.78N, while parents had a respective hardness of 26.04N and 30.58N. °Brix among the F2 progenies also displayed a normal distribution, with a range of …
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Analysis of Multivariate Data Using Kotz Type Distribution
… assumption that the data are from a multivariate normal distribution. Unfortunately, one can never be sure a set of data is really from a multivariate normal distribution. There are numerous methods for checking (testing) multivariate normality, but based on many published and our own simulation …
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