نتایج جستجو برای: autoregressive integrating moving average method

تعداد نتایج: 2078414  

2017
Javier Rueda David Chorro Gonzalo Torres Archit Navandar Enrique Navarro

As biomechanists, improving technique with an aim of injury prevention is an essential application of biomechanics in recreational runners. A mixed sample of elite and recreational runners, belonging to either sex, could give useful movement patterns of movement. In order to obtain any useful pattern of movement we would like to know if we should use an elite or a recreational sample as a refer...

Journal: :Entropy 2015
Jaehyung Choi Andrew P. Mullhaupt

We construct geometric shrinkage priors for Kählerian signal filters. Based on the characteristics of Kähler manifold, an algorithm for finding the superharmonic priors is introduced. The algorithm is efficient and robust to obtain the Komaki priors. Several ansätze for the priors are also suggested. In particular, the ansätze related to Kähler potential are geometrically intrinsic priors to th...

2016
Bindu Krishnan

In this paper, we study a first order random coefficient autoregressive model with Laplace distribution as marginal. A random coefficient moving average model of order one with Laplace as marginal distribution is introduced and its properties are studied. By combining the two models, we develop a first order random coefficient autoregressive moving average model with Laplace marginal and discus...

Journal: :MASA 2016
Vladimir Mkhitarian Mariia Karelina Tatiana Ivanova

This paper presents an empirical analysis of the Russian market of mergers and acquisitions (the largest market for corporate control in Central and Eastern Europe) in 2003–2012 in terms of the total volume and value of the merger and acquisition deals of the holding companies. This analysis allowed for the conclusion that, to assess and forecast the integration activity of holding companies, t...

2012
Yi Liang Shihong Liu

This paper proposes the combined forecasting model which study on the classic swine fever (CSF) morbidity, using the forecasting results of ARIMA and GM (1, 1) model as the inputs of the majorizing BP neural network. Analyzing the monthly data from 2000 to 2009 and the accuracy of the forecasting results is 97.379%, more accurate and more steady than traditional methods. This research provides ...

Journal: :RFC 2002
David G. Korn Joshua P. MacDonald Jeffrey C. Mogul Kiem-Phong Vo

Status of this Memo This document specifies an Internet standards track protocol for the Internet community, and requests discussion and suggestions for improvements. Please refer to the current edition of the "Internet Official Protocol Standards" (STD 1) for the standardization state and status of this protocol. Distribution of this memo is unlimited. Abstract This memo describes VCDIFF, a ge...

2003

An in-depth look at the Auto_ARIMA function and its constituents with an application to financial data. Visual Numerics, Inc., makes no warranty of any kind with regard to this material, included, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Visual Numerics, Inc., shall not be liable for errors contained herein or for incidental, consequent...

2010
William R. Bell

Linear filters used in seasonal adjustment (model-based or from the X-11 method) contain unit root factors in the form of differencing operators and seasonal summation operators. The extent to which the various filters (seasonal, seasonal adjustment, trend, and irregular) contain these unit root factors determines whether the filters reproduce or annihilate (i) fixed seasonal effects, and (ii) ...

Journal: :Entropy 2017
Tao Xu Xianrui Xu Yujie Hu Xiang Li

With the great development of intelligent transportation systems (ITS), travel time prediction has attracted the interest of many researchers, and a large number of prediction methods have been developed. However, as an unavoidable topic, the predictability of travel time series is the basic premise for travel time prediction, which has received less attention than the methodology. Based on the...

Journal: :Softwaretechnik-Trends 2014
Klaus Müller Bernhard Rumpe

In model-based software development, models are core development artifacts which are typically created and modified by multiple developers over a period of time. In order to be able to reason about the evolution of models, the computation of the differences between different versions of a model, called model differencing, is a crucial activity. However, in general a completely automatic approac...

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