Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 793 for “"Statistic"”.
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SCAN : a statistic code analyser for JavaScheme
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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The Sampling Distribution of The Canonical Redundancy Statistic
Made available in DSpace on 2014-12-12T19:55:01Z (GMT). No. of bitstreams: 1 7803972.pdf: 6937451 bytes, checksum: f549c3a37c6b7bf4197c16837e397d8a (MD5) Previous issue date: 1977
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Higher-order statistic-based detection of non-Gaussian signals
… tests that we propose. We formulate a new F-test statistic and derive refined conditional distributions for the test proposed by Hinich. We calculate the optimal smoothing bandwidth for the HOS estimate components of our F-test and his test, producing the best detector performance. These new …
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A variable sampling interval chart for a combined statistic
… and process variance. The chart is based on a statistic which combines both mean and variance. After developing such a chart variable sampling intervals are introduced and it is evaluated against alternative methods of monitoring mean and variance with variable sampling intervals. The statistic …
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P2PHDFS: AN IMPLEMENTATION OF STATISTIC MULTIPLEXED COMPUTING ARCHITECTURE IN HADOOP FILE SYSTEM
… This is a first attempt implementation of the Statistic Multiplexed Computing Architecture concept proposed by Dr. Shi for the existing Hadoop File System (HDFS) to eliminate all single point failures. Unlike HDFS, in P2PHDFS every node is designed to be equal and behaves as a file system …
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Robustness And Power of a TDT Statistic for Mapping Quantitative Trait Loci
… multiple children. In the investigation of the statistical properties of the TDTg: 1) background polygenes were not considered, which is not realistic, for most quantitative traits are polygenic, and 2) all family members were randomly ascertained. Using a random sample in this case may have …
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Cape Town Airbnb price prediction: an exploration of spatial statistic and machine learning methods
This thesis predicts the prices of Airbnb listings in Cape Town, South Africa and in doing so, investigates the price determinants in the market. Using data from InsideAirbnb, traditional, spatial and machine learning models are compared and contrasted. The Cape Town Airbnb market has significant …
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A Jackknife Empirical Likelihood Approach To Goodness Of Fit U-Statistic Testing With Side Information
<p>Motivated by applications to goodness of fit U-statistics testing, the jackknife empirical likelihood of Jing, <em>et al.</em> (2009) is justified with an alternative approach, and the Wilks theorem for vector U-statistics is proved. This generalizes Owen's empirical likelihood theorem for a …
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Exploring Statistic Features for Computationally-Efficient Maximum-Likelihood Algorithms in Signal Processing and Communications Applications
The problem of estimating the parameters in a Gaussian mixture probability density function has been prevalent in the literature for nearly a century. During the last two decades, the method of maximum likelihood has become the predominant approach to this problem. In this thesis work, we try to …
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Formulating a Dimtest-Based Effect Size Measure and a New DIMTEST Statistic and Their Applications
… of DIMTEST and the DIMTEST procedures for a statistical test of the null hypothesis. In Chapter 3 a DIMTET-based Effect Size Measure (DESM) is proposed. This chapter also evaluates the efficacy of DESM and the amount of bias in the DESM estimator by comparing it with the DESM population …
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An investigation of the power of various alternatives to the ANOVA F statistic when population variances are unequal
Call number: LD2668 .R4 STAT 1988 S67
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Two applications of U-Statistic type processes to detecting failures in risk models and structural breaks in linear regression models
… By applying Theorem 2.1 of Szyszkowicz on U-statistic type process, a number of weak convergence results regarding three weighted partial sum processes are established. It is shown that these partial sum processes share certain invariance properties; estimation risk does not affect their weak …
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A New Method for Comparing Experiments and Measuring Information
A statistic that summarizes an entire data set without losing any information about the family of distributions or the model is often called a sufficient statistic. Generally, one would like to use the statistic that contains the most information about the parameter space. Sometimes there are …
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A Non-Parametric Approach to Change-Point Detection in Cross-Asset Correlations
… measuring correlation. We finally settle on a statistic introduced in early 2012 by Herold Dehling et.al. and test this statistic against real world financial data. We provide the estimated change-point for this data as well as the asymptotic p-value associated with this statistic. Once this …
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Exploring Patient-to-Provider Communication of Childhood Adversity in Primary Care
… was triangulated using Atlas.ti and the Goodwin statistic. A total of 455 thematic units were abstracted from the data and organized into 31 categories and 32 subcategories. Findings from this study were all significant. Categories with the highest level of participant emphasis were Facilitators …
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Modeling and Measuring Association for Ordinal Data
We propose the modified Pearson goodness-of-fit statistic and consider it in the cumulative contingency tables. For the non-cumulative tables, we provide the scoring systems and the variance minimization correction term to Pearson goodness-of-fit statistic. We also put forward the average of …
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Approximation of Quantiles of Rank Test Statistics Using Almost Sure Limit Theorems
<p>There are many problems in statistics where the analysis is based on asymptotic distributions. In some cases, the asymptotic distribution is in an open form or is intractable. One possible solution is the logarithmic quantile estimation (LQE) method introduced by Thangavelu (2005) for rank tests …
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Contributions to Profile Monitoring and Multivariate Statistical Process Control
… an improved approximate distribution for the T² statistic based on the successive differences covariance matrix estimator. Part 1: Nonlinear Profile Monitoring In an increasing number of cases the quality of a product or process cannot adequately be represented by the distribution of a univariate …
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