Preparing the dependent variable for statistical analysis
Preparing Real World Data in Excel Sheets for Statistical Analysis
... This paper collects a set of techniques of importing Excel sheets and creating keys to prepare the data for statistical analysis using proc import and macro variables. The data stem from a real world ...
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Statistical mediation analysis with a multicategorical independent variable
... multicategorical variable, the number of possible tests one could conduct in a mediation analysis as described above can be large, and we encourage researchers to be mindful of the problems this can ...the ...
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Probabilistic contribution analysis for statistical process monitoring: A missing variable approach
... component analysis (PPCA) and PPCA mixture models, have been successfully applied to statistical process ...contribution analysis method, based on the concept of missing variable, is proposed ...
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A Limited Dependent Variable Analysis of Integrated Pest Management Adoption in Uganda
... the variable off-farm income (INCMSC) had on adoption of close spacing highlights how essential availability of non-farm earnings may be in financing the purchase of inputs, such as labor, necessary for practicing ...
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Statistical inference for dependent data
... data analysis (FDA), which deals with the analysis of curves and surfaces, is an effective tool for analyzing large high resolution data ...the analysis of dependent functional ...temporally ...
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Statistical modeling and reliability analysis for multi-component systems with dependent failures
... the dependent failure occurrence are ...the dependent failure occurrence, and there are a lot of statistical detection methods of such anomaly phenomena in the ...
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Statistical analysis of concentration-dependent high-dimensional gene expression data
... The control-subtracted expression values (log 2 -fold changes) serve as base data for all further analyses. To obtain an overview of the underlying compound effects, the number of gene dereg- ulations induced by ...
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The dependent variable was price book value
... data analysis involved descriptive statistics, classical assumption test, multiple linear regression and hypothesis-testing using Statistical Package for Social Science ...
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Regression Split by Levels of the Dependent Variable
... the Statistical Theory Commons This Regular Article is brought to you for free and open access by the Open Access Journals at ...Applied Statistical Methods by an authorized administrator of ...
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A strategy for preparing software organizations for statistical process control
... behavior analysis using SPC considers chronological aspects, when sequential data are removed from the data group being plotted in a control chart, it is possible that the process behavior obtained is dif- ferent ...
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Statistical analysis of effective variable parameters on corrosion rate of x 52 carbons steel
... Response Surface Methodology (RSM) was used for statistical analysis of the obtained results. The primary objective of RSM is to decide best settings of the control parameters that results in a maximum or ...
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Evolution of size-dependent flowering in a variable environment: construction and analysis of a stochastic integral projection model
... age dependent, individuals of the same size can grow by different amounts and there is temporal variation in the environ- ...Elasticity analysis is used to partition the size- and age- specific ...
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Statistical process monitoring of time-dependent data
... the analysis of time- dependent processes since this is the scenario most often encountered in practice, due to high sampling systems and the natural behavior of many real-life ...
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Statistical Analysis of Long-Range Dependent Processes via a Stochastic Intensity Approach, with Applications in Networking
... its statistical significance in traffic measurements, LRD has considerable impact on queueing performance, and is a dominant characteristic for several packet traffic engineering issues, such as dimensioning of ...
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Variable Annuities with State-Dependent Fees: Valuation, Numerical Implementation, Comparative Static Analysis and Model Risk
... 5. Summary and conclusions In this paper we have proposed a quite general valuation model for variable annuities providing guarantees at death and maturity and financed through the application of a ...
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Context Dependent Alignment Models for Statistical Machine Translation
... 3.2.1 Analysis of frequently used questions Table 1 shows the questions used most frequently at the root node of the decision tree when clustering con- texts in English and ...
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Statistical models for dependent and non stationary extreme events
... In Section 3.2 we review existing methods for modelling the extremes of both stationary and non-stationary processes. We then introduce our proposed ap- proach in Section 3.3, as well as an ‘in-between’ approach, termed ...
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Contributions to Statistical Methods for High Dimensional and Dependent Data.
... The non-informative priors from Section 3.3 are used in the analysis. We implement the MCMC procedure described in Section 3.4 for both the complete and imputed data to get 50,000 posterior samples of {π, Σ}. We ...
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Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy
... general statistical criterion functions that include parametric likelihood functions (that past literature has mostly focused on) as special ...Limited Dependent Variable models of Time Series (that ...
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Temperature dependent behaviours are genetically variable in the nematode Caenorhabditis briggsae
... These experiments quantify heritable differences for temperature- dependent behaviour in C. briggsae. As an emerging model for determining the genetic basis of phenotypic variation (Baird et al., 2005; Hillier et ...
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