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Statistical Modeling

STATISTICAL MODELING OF SURFACE ROUGHNESS IN TURNING PROCESS

STATISTICAL MODELING OF SURFACE ROUGHNESS IN TURNING PROCESS

... Mahapatra et al (2006) studied the effect of different cutting parameters in turning operation by Taguchi method. Surface quality is one of the specified customer requirements for machined parts. There are many ...

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Statistical Modeling for Unit Selection in Speech Synthesis

Statistical Modeling for Unit Selection in Speech Synthesis

... The statistical framework just outlined is simi- lar to the one used in speech recognition (Jelinek, ...a statistical n-gram language model over ...a statistical model? Ideally, the training cor- pus ...

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Statistical Modeling of Craniofacial Shape and Texture

Statistical Modeling of Craniofacial Shape and Texture

... prior statistical distribution of both shape and texture that can be used as a constraint in analysis problems or generatively in synthesis ...problems. Modeling shape and texture variability of the human ...

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Statistical Modeling of Creole Genesis

Statistical Modeling of Creole Genesis

... several statistical models to explore the nature of cre- ole ...some statistical universals in it, paving the way for more elaborate statisti- cal ...

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Dashboard using Data Analytics and Statistical          Modeling

Dashboard using Data Analytics and Statistical Modeling

... In descriptive statistics, a box plot or boxplot is a con- venient way of graphically depicting groups of numerical data through their quartiles. Box plots may also have lines extending vertically from the boxes ...

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Statistical Modeling with Covariates Subject to Detection Limits.

Statistical Modeling with Covariates Subject to Detection Limits.

... methods still often require unverifiable assumptions and do not take advantage of the distri- butional evidence above the DL; (ii) the parametric and semiparametric methods we suggest provide straightforward methods for ...

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Statistical modeling of Tamil nadu annual rainfall

Statistical modeling of Tamil nadu annual rainfall

... The annual rainfall data for a period of 63 years (1950-2012) of Tamil Nadu have been analyzed for climatologically pattern and trend. Climate change for a region can be analyzed only on a long–term average. Detecting ...

5

THE adoption of classical statistical modeling techniques

THE adoption of classical statistical modeling techniques

... In Section 2, we defined congealing as a general procedure for jointly aligning arrays of data with respect to a set of continuous transformations. This broad definition encom- passes a wide range of data types and ...

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Statistical modeling and analysis of partially observed infectious diseases

Statistical modeling and analysis of partially observed infectious diseases

... ters. Note that both assume parametric model and also involve the use of the likelihood function. The likelihood function is the conditional distribution of the data given the model parameters. In addition, Bayesian ...

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Fifteenth mathematical and statistical modeling workshop for graduate students

Fifteenth mathematical and statistical modeling workshop for graduate students

... Micro-electro-mechanical systems (MEMS) switches for radio-frequency (RF) signals have certain advantages over solid-state switches, such as lower insertion loss, higher isolation, and lower static power dissipation. ...

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Statistical Modeling of Crude Oil Price Volatility in Nigeria

Statistical Modeling of Crude Oil Price Volatility in Nigeria

... NNPC statistical bulletin was used in the analysis in order to tentatively identify Box-Jenkins model, we must first determine whether the time series we wish to analyze is ...

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Twentyfirst mathematical and statistical modeling workshop for graduate students

Twentyfirst mathematical and statistical modeling workshop for graduate students

... It depends on the number of individuals that transition from I to H, given by the product of the transition rate from infected to hospitalized and the probability a case is hospitalized;[r] ...

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Twentieth Mathematical and Statistical Modeling Workshop for Graduate Students

Twentieth Mathematical and Statistical Modeling Workshop for Graduate Students

... a statistical analysis of the National Health and Nutrition Examination Study (NHANES) 2005- 2006 survey was performed to develop a prediction model for asthma based on allergies and ...

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Eighteenth mathematical and statistical modeling workshop for graduate students

Eighteenth mathematical and statistical modeling workshop for graduate students

... Understanding the data is the first step of analysis. The AE data obtained from LORD is separated into three groups: control, defect 1 and defect 2. Each group contains twenty tests Each test was performed on a separate ...

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Industrial mathematics and statistical modeling workshop for graduate students

Industrial mathematics and statistical modeling workshop for graduate students

... Previously, each of the PBPK models for different exposure routes of IPA, acetone or both has been developed and fitted based on minimal experimental data. In the model presented in this paper, we sought to combine these ...

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Sixteenth Mathematical and Statistical Modeling Workshop for graduate students

Sixteenth Mathematical and Statistical Modeling Workshop for graduate students

... We consider several data sets, that come from the run of the Weather Research and Forecasting (WRF) model run and archived at the National Severe Storms Laboratory (NSSL). The first set of data shows records of “all” ...

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Seventeenth Mathematical and Statistical Modeling Workshop for graduate students

Seventeenth Mathematical and Statistical Modeling Workshop for graduate students

... If our team had one more week to focus on this project, we would further investigate methods to select optimal metabolites. Our proof of concept numerical work indicates that a subset of metabolites may provide enough ...

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Statistical Modeling for Rice Production in Pakistan

Statistical Modeling for Rice Production in Pakistan

... S.et al. (2014a), Sudhaet al. (2013), Khan et al. (2013), Prasad et al. (2012), Sabir and Tahir (2012), Abid et al, (2014b), Bibiet al, (2014) and so on. The present study has been undertaken to evaluate the growth in ...

7

Statistical Modeling of Craniofacial Shape and Texture

Statistical Modeling of Craniofacial Shape and Texture

... In the following, we explore flexibility modes associated with our global 3DMM. We choose scale factors ( ± 2.2 √ l) to illustrate the flexibility modes of: i. a missing face, ii. a missing cranium, and iii. a missing ...

26

Statistical Modeling for Credit Ratings

Statistical Modeling for Credit Ratings

... Keywords : Bayesian model averaging, composite likelihood estimation, correlated ordinal data, credit risk, credit ratings, credit rating agencies, financial ratios, model uncertainty, m[r] ...

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