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Sixth Method as a Simplified Measurement for SMEs?
BEPS Simplified measurements Sixth method SMEs Transfer pricing
2016/1/27
In December 2014, OECD issued a Discussion Draft on Transfer Pricing aspects of cross-border commodity transactions through BEPS action 10, where the adoption of the sixth method in the form of the qu...
MEASUREMENT AND MEANING IN INFORMATION SYSTEMS AND ORGANIZATIONAL RESEARCH: METHODOLOGICAL AND PHILOSOPHICAL FOUNDATIONS
methodology on research management information systems organization the marker variable approach
2011/10/6
The article examines methodology on research on management information systems and organization. The problem of selecting among different means of measurement of information in management science and ...
Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals
Tight Measurement Bounds Exact Recovery Structured Sparse Signals
2011/7/6
Standard compressive sensing results state that to exactly recover an s sparse signal in R^p, one requires O(s\cdotlog p) measurements. While this bound is extremely useful in practice, often real wor...
Estimation in autoregressive model with measurement error
autoregressive model markov chain weak dependent deconvolution semi-parametric nonlinear autoregressive model
2011/6/16
Consider an autoregressive model with measurement error: we observe
Zi = Xi+εi, where Xi is a stationary solution of the equation Xi = f0(Xi−1)+ξi. The
regression function f0 is known up to ...
Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity
Multiple Measurement Vectors Block Sparsity Time-Varying Sparsity
2011/6/16
A trend in compressed sensing (CS) is to exploit struc-
ture for improved reconstruction performance. In the
basic CS model (i.e. the single measurement vec-
tor model), exploiting the clustering s...
Adaptive Density Estimation in the Pile-up Model Involving Measurement Errors
Adaptive nonparametric estimation Deconvolution Fluorescence lifetimes
2010/11/8
Motivated by fluorescence lifetime measurements this paper considers the problem of nonparametric density estimation in the pile-up model. Adaptive nonparametric estimators are proposed for the pile-u...
Diagram of measurement series elements deviation from local linear approximations
Diagram measurement series elements deviation local linear approximations
2010/3/18
For the detection and visualization of trends, periodicities, local peculiarities in
measurement series, the methods of fractal and wavelet-analysis are of considerable current use.One of such method...
Does adjustment for measurement error induce positive bias if there is no true association?
adjustment measurement error positive bias true association
2010/3/18
This article is a response to an off-the-record discussion that I had at an international meeting of epidemiologists. It centered on a concern, perhaps widely spread, that measurement error
adjustmen...
Variable selection in measurement error models
errors in variables estimating equations measurement error models non-concavepenalty function SCAD semi-parametric methods
2010/3/10
Measurement error data or errors-in-variable data have been collected in many studies. Natural
criterion functions are often unavailable for general functional measurement error models due
to the la...
A Critical Analysis of Measurement Models of Export Performance
export performance international business construct validation
2009/9/25
Poor conceptualization of the export performance construct may undermine theory development efforts and may be one of the reasons behind the often conflicting findings in empirical research on the exp...
Development: an Analysis of Concepts, Measurement and Indicators
development development indicators index well-being
2009/9/25
This paper presents the result of a comprehensive analysis of the main forms of development measurement. Recognizing the level of complexity that the subject involves, aspects related to interpretatio...
Barriers to effective Human Resource Measurement in New Zealand
Barriers Human Resource Measurement New Zealand
2009/9/23
With the emergence of the knowledge economy, organisational human capability is increasingly recognised as a unique source of competitive advantage. Measuring this capability is an important skill for...
Bayesian inference for an extended simple regression measurement error model using skewed priors
Berkson model non-informative prior non-random sample pseudo-Bayes factor regression calibration structural error model Winbugs
2009/9/22
In this paper, we introduce a Bayesian extended regression model
with two-stage priors when the covariate is positive and measured with error.
Connections are made with some results in Arellano-Vall...
Multivariate Spatiotemporal CDFs with Random Effects and Measurement Error
Air pollution Bayesian methods Change of support problem Kriging Markov chain Monte Carlo (MCMC) methods
2009/9/21
Spatial cumulative distributions (SCDFs) are useful in environmental applica-
tions for example, by helping assess the fraction of a region exposed to harmful
pollutants. Data sets containing the re...
Role of Regression Estimator Involving Measurement Errors
Role Regression Estimator Involving Measurement Errors
2009/9/17
Role of Regression Estimator Involving Measurement Errors。