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On the Necessity of Using Average Cost as a Base for Transfer Price
Multibusiness enterprise OECD taxation guidelines Transfer pricing Vertical integration
2016/1/26
Both older and recent literature on transfer pricing is not unified about the opinion whether optimal transfer price should be equal to marginal cost of supplying company and set by centralized decisi...
FUNCTIONAL COEFFICIENT MOVING AVERAGE MODEL WITH APPLICATIONS TO FORECASTING CHINESE CPI
Moving Average model functional coefficient model fore- casting Consumer Price Index
2016/1/26
This article establishes the functional coefficient moving average mod-el (FMA), which allows the coefficient of the classical moving average model to adapt with a covariate. The functional coefficien...
Forecasting Equity Premium: Global Historical Average versus Local Historical Average and Constraints
Equity premium Nonparametric local historical average model Positivity con- straint Bagging
2016/1/25
The equity premium, return on equity minus return on risk-free asset, is expected to be positive. We consider imposing such positivity constraint in local historical average (LHA) in nonparametric ker...
Forecasting Equity Premium: Global Historical Average versus Local Historical Average and Constraints
Equity premium Nonparametric local historical average model Positivity con- straint Bagging Model averaging
2016/1/20
The equity premium, return on equity minus return on risk-free asset, is expected to be positive. We consider imposing such positivity constraint in local historical average (LHA) in nonparametric ker...
A Scheme for Robust Distributed Sensor Fusion Based on Average Consensus
Scheme Robust Distributed Sensor Fusion Based Average Consensus
2015/7/10
We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterati...
Average Case Behavior of Random Search for the Maximum
Average Case Behavior Random Search Maximum
2015/7/8
This paper is a study of the error in approximating the global maximum of a Brownian motion on the unit interval by observing the value at randomly chosen points. One point of view is to look at the e...
On the Asymptotic Optimality of the SPT Rule for the Static Flow Shop Average Completion Time Problem
Asymptotic Optimality SPT Rule Static Flow Shop Average Completion Time Problem
2015/7/8
Consider a flow shop with M machines in series, through which a set of jobs are to be processed. All jobs have the same routing, and they have to be processed in the same order on each of the machines...
Kernel-Based Reinforcement Learning in Average-Cost Problems
Average–cost problem dynamic programming kernel smoothing local averaging Markov decision process (MDP)
2015/7/8
Reinforcement learning (RL) is concerned with the identification of optimal controls in Markov decision processes (MDPs) where no explicit model of the transition probabilities is available. Many exis...
Estimating Average Causal Effects Under Interference Between Units
Estimating Average Causal Effects Interference Between Units
2013/6/14
This paper presents a randomization-based framework for estimating causal effects under interference between units. We develop the case of estimating average unit-level causal effects from a randomize...
Bounds on Average and Quantile Treatment Effects of Job Corps Training on Wages
Bounds on Average Quantile Treatment Effects Job Corps Training Wages
2016/3/9
We review and extend nonparametric partial identification results for average and quantile treatment effects in the presence of sample selection. These methods are applied to assessing the wage effect...
Statistical Analysis of Autoregressive Fractionally Integrated Moving Average Models
ARFIMA models long-memory time series Whittle esti-mation exact variance matrix impulse response functions forecasting, R package.
2012/9/17
In practice, several time series exhibit long-range dependence or per-sistence in their observations, leading to the development of a number of estimation and prediction methodologies to account for t...
Using Moving Average Method To Estimate Entropy In Testing Exponentiality For Type-II Censored Data
Entropy Monte Carlo simulation Kullback-Leibler distance mov-ing average method Hazard function.
2012/9/19
In this paper, we introduce a modified test statistic, by applying moving average method and present a new cdf estimator to estimate the joint entropy of the type-II censored data. We also establish a...
KARMA: Kalman-based autoregressive moving average modeling and inference for formant and antiformant tracking
autoregressive moving average modeling inference for formant
2011/7/19
Vocal tract resonance characteristics in acoustic speech signals are classically tracked using frame-by-frame point estimates of formant frequencies followed by candidate selection and smoothing using...
Asymptotic probability distribution of distances between local extrema of error terms of a moving average process
distance between local extremum maximum extrema probability density distribution function average random stochastic moving average
2011/6/20
Consider error terms i of a moving average process MA(q), where
i = Pq
j=0 "i−j and "i - independent identically distributed (i.i.d.) random
variables. We recognize a term i as a local max...
Long Strange Segments,Ruin Probabilities and the Effect of Memory on Moving Average Processes
Long Strange Segments Ruin Probabilities Effect Memory Moving Average Processes
2010/3/11
We obtain the rate of growth of long strange segments and the
rate of decay of infinite horizon ruin probabilities for a class of infinite moving
average processes with exponentially light tails. Th...