Results 261 to 270 of about 373,972 (292)

Flexible Sensors for Battery Health Monitoring. [PDF]

Nanomicro Lett
Wang X, Zhang H, Qi X, Chen S, Huang Z, Zhao J, Wang Y, Wu D, Zheng G, Xue C, Zhou J, Wang H, Yin Z, Gao L.   +13 more
europepmc   +1 more source

Alkaline Phosphatase Activity in Serum as Indicator for Skeletal Maturity in Assamese Population - An Ex-Vivo Study.

J Pharm Bioallied Sci
Bhattacharjee R, Baruah N, Bora M, Khan RUA, Das SDC.   +4 more
europepmc   +1 more source

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Estimation in flexible two stage designs

Statistics in Medicine, 2006
Adaptive test designs for clinical trials allow for a wide range of data driven design adaptations using all information gathered until an interim analysis. The basic principle is to use a test statistics which is invariant with respect to the design adaptations under the null hypothesis.
Werner, Brannath, Franz, König, Peter, Bauer   +2 more
openaire   +2 more sources

Two Stages Liu Regression Estimator

Communications in Statistics - Simulation and Computation, 2015
This paper introduces a new estimator for multicollinearity and autocorrelated errors. We propose the Two Stages Liu estimator (TL) for the multiple linear regression model which suffers from autocorrelation AR(1) and multicollinearity problems. We use a mixed method to apply the two stages least squares procedure (TS) for deriving the TL estimator. We
Issam Dawoud, Selahattin Kaçiranlar
openaire   +1 more source

A Two‐Stage Stepwise Estimation Procedure

Biometrics, 2008
Summary This article proposes a two‐stage simultaneous confidence procedure for the comparisons of k pairs of population means, without using multiplicity adjustment of more than two populations. The proposed procedure can be broadly applied to parametric or nonparametric models.
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Estimating Two-Stage Network Technology Inefficiency

International Journal of Operations Research and Information Systems, 2012
The authors model the performance of DMUs (decision-making units) using the directional distance function within a two-stage framework. In the first stage of production, DMUs use inputs to produce an intermediate output. In stage 2, the intermediate output is used to produce final outputs.
Hirofumi Fukuyama, William L. Weber
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TWO‐STAGE SUPPORT ESTIMATION

Australian & New Zealand Journal of Statistics, 2005
SummaryThis paper presents a two‐stage procedure for estimating the conditional support curve of a random variable X, given the information of a random vector X. Quantile estimation is followed by an extremal analysis on the residuals for problems which can be written as regression models.
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Two Stage Estimation in Data Processing

2008 International Symposium on Intelligent Information Technology Application Workshops, 2008
The new method presented in this paper shows an effective way of solving an estimation problem, the estimated values are nearer to their theoretical ones than in an adjustment with the method of least squares. Considering the semi parametric adjustment models, firstly, the estimators of the parameters and the nonparametric are derived by using a kernel
Pan Xiong, Chen Gang, Chen Yu
openaire   +1 more source