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Estimation of a LogisticRegression Model with Mismeasured Observations

Estimation of a LogisticRegression Model with Mismeasured Observations

... the mismeasured observations lead to inconsistent ...topic of binary regression when predictors X i are measured with error has been the subject of several recent papers, see Carroll, ... See full document

17

A Semiparametric Approach to the Estimation of the Stochastic Frontier Model with Time Variant Technical Efficiency

A Semiparametric Approach to the Estimation of the Stochastic Frontier Model with Time Variant Technical Efficiency

... level of significance; **: significant at the 5% level of signifi- cance; ***: significant at the 1% level of ...602 observations is 0.5645. A representative firm can merely produce ... See full document

27

A note on the interval estimation of C-pk with asymmetric tolerances

A note on the interval estimation of C-pk with asymmetric tolerances

... from a manufacturer and supplier in Taiwan exporting high-end audio speaker components including rubber edge, Pulux edge, Kevlar cone, honey- comb and many ...for a particular model of Pulux ... See full document

9

Data classification with a relaxed model of variable kernel density estimation

Data classification with a relaxed model of variable kernel density estimation

... In this regard, our recent studies have shown that the RBF network constructed with the earlier version of the relaxed model of variable kernel density estimation is capa- ble of deliver[r] ... See full document

6

Dynamic ANN for precipitation estimation and forecasting from radar observations

Dynamic ANN for precipitation estimation and forecasting from radar observations

... Abstract - T o accelerate prototyping designs, we propose a new Sym- metric and Programmable MCM (SPMCM) substrate, which consists of 'a symmetrical array of slots for[r] ... See full document

10

Optimal least squares deterministic parameter estimation from a class of block-circulant-with-circulant-block linear model

Optimal least squares deterministic parameter estimation from a class of block-circulant-with-circulant-block linear model

... (LS) estimation of unknown deterministic parameters from a standard linear model characterized by a class of block-circulant-with-circulant-block (BCCB) ...propose ... See full document

5

Systematic Parameter Estimation of Watershed Acidification Model

Systematic Parameter Estimation of Watershed Acidification Model

... This indicates that the original values (Goldstein et a/., 1984b) of parameter set THICK were well estimated and the systematic parameter estimation strategy was successful in[r] ... See full document

16

A modified model for the estimation of fatigue life derived from random vibration theory

A modified model for the estimation of fatigue life derived from random vibration theory

... application of random vibration theory in the prediction of fatigue damage and fatigue life has been questioned by some fatigue experimenters, the present study indicates that a general formula, or ... See full document

8

Estimation and Prediction of Drug Therapy on the Termination of Atrial Fibrillation by Autoregressive Model With Exogenous Inputs

Estimation and Prediction of Drug Therapy on the Termination of Atrial Fibrillation by Autoregressive Model With Exogenous Inputs

... mapping of swine electrograms was used in this ...by a multiple reentry ...architecture of atrial tissue, causing a substantial increase in fibrosis of atrial tissues, which interferes ... See full document

9

Estimation of the heat source of laser pulses by a dual-phase-lag model

Estimation of the heat source of laser pulses by a dual-phase-lag model

... r a c t Because the duration of laser heating is ultrashort, a sequential method is proposed for estimating the input condition in the dual-phase-lag (DPL) conduction ...The estimation is ... See full document

3

The influence of neuromuscular activation on the estimation of optimal muscle length using a muscle model

The influence of neuromuscular activation on the estimation of optimal muscle length using a muscle model

... the estimation of optimal muscle lengths. As a result of adjusting α individually in ...level of neuromuscular activation in the condition of MVIC, the optimal muscle lengths ... See full document

5

Observations of exciton density of state variations in a ZnO thin film with fs pump-probe experiments

Observations of exciton density of state variations in a ZnO thin film with fs pump-probe experiments

... Photoday,namics Research Center, The Institute of Physical aind Chemicail Research (RIKEN), Sendai, Jalpan Abstract: Variations of exciton density of state around the levels of donor-bou[r] ... See full document

3

A Parametric Estimation of Bank Efficiencies Using a Flexible Profit Function with Panel Data

A Parametric Estimation of Bank Efficiencies Using a Flexible Profit Function with Panel Data

... When a bundle of outputs could be more cheaply produced by a single enterprise than by independent specialised ®rms, economies of scope ...function with various modi®cations. 13 ... See full document

24

STRUCTURE OF EVEN GE ISOTOPES BY MEANS OF INTERACTING BOSON MODEL WITH A FERMION PAIR MODEL

STRUCTURE OF EVEN GE ISOTOPES BY MEANS OF INTERACTING BOSON MODEL WITH A FERMION PAIR MODEL

... The energy levels of the even-even Ge isotopes with mass number between 64 and 78 are studied in the model of the traditional interacting boson approximation.. To account for the multipl[r] ... See full document

6

Reanalysis of western Pacific typhoons in 2004 with multi-satellite observations

Reanalysis of western Pacific typhoons in 2004 with multi-satellite observations

... 2003] of the initial P-wave. [ 11 ] t c is a measurement of the average period of the P wave within the first few seconds, which can be used to estimate the size of an ...selecting ... See full document

5

Prediction of protein secondary structures with a novel kernel density estimation based classifier

Prediction of protein secondary structures with a novel kernel density estimation based classifier

... prediction of protein secondary structures, one kernel density estimator is created to approximate the distribu- tion of each class of training ...associated with a PSSM computed ... See full document

3

Estimation of the Gilbert model parameters using the simulated annealing method

Estimation of the Gilbert model parameters using the simulated annealing method

... An estimation method based on the simulated annealing algorithm is proposed for computing the Gilbert model parameters from sample error sequences.. Experimental res[r] ... See full document

3

A statistical regression model for estimation of acrylamide concentrations in French fries for excess lifetime cancer risk assessment

A statistical regression model for estimation of acrylamide concentrations in French fries for excess lifetime cancer risk assessment

... College of Public Health, Taichung, ...start of the interview. Participants were interviewed face-to-face by a trained ...used a standard questionnaire to collect information with ... See full document

6

Estimation of a utility-based asset pricing model using normal mixture GARCH(1,1)

Estimation of a utility-based asset pricing model using normal mixture GARCH(1,1)

... family of K-component normal mixtures is capable of exhibiting the skewness and excess kurtosis characteristics of economical and financial ...advantages of normal mixtures are the valid ... See full document

21

A note on Bayesian estimation and prediction for the beta-binomial model

A note on Bayesian estimation and prediction for the beta-binomial model

... accuracy of all the information (the “Content”) contained in the publications on our ...purpose of the ...views of the authors, and are not the views of or endorsed by Taylor & ... See full document

21

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