نتایج جستجو برای: breast cancerauto regressive integrated moving average

تعداد نتایج: 968424  

2013
Haoxiong Yang Jing Hu

The price of fresh agricultural products changes up and down recently. In order to accurately forecast the agricultural precuts demand, a forecasting model based on ARIMA is provided in this study. It can be found that asymmetric information and unbalance about supply and demand exist in the market through analyzing the reasons. The ARIMA model for fresh agricultural products can forecast the d...

Journal: :Mathematical and Computer Modelling 2005
Eduardo H. M. Brietzke Sílvia Regina Costa Lopes Cleber Bisognin

We consider the fractionally integrated ARFIMA Processes with seasonality s, denoted by SARFIMA(0, D, 0)s. This work presents a closed formula for the Durbin-Levinson’s algorithm relating the partial autocorrelation and the autocorrelation functions of these processes. In order to obtain the closed formula we show a hypergeometric identity, namely

2003
Sanjeev Sridharan Siem Jan Koopman

The Commonwealth of Virginia abolished parole and reformed sentencing for all felony offenders committed on or after January 1, 1995. We examine the impact of this legislation on reported crime rates using different time series approaches. In particular, structural time series models are considered as an alternative to the Box-Jenkins ARIMA models that form the standard time series approach to ...

Journal: :Computer Networks 2002
Marwan Krunz Ibrahim Matta

Since the publication of the Bellcore measurements in the early nineties, long-range dependence (LRD) has been in the center of a continuous debate within the teletraac community. While researchers largely acknowledge the signiicance of the LRD phenomenon, they still disagree on two issues: (1) the utility of LRD models in buuer dimensioning and bandwidth allocation, and (2) the ability of comm...

Journal: :ISPRS Int. J. Geo-Information 2017
Patcha Huntra Tim C. Keener

Many factors impact a city’s water consumption, including population distribution, average household income, water prices, water conservation programs, and climate. Of these, however, meteorological effects are considered to be the primary determinants of water consumption. In this study, the effects of climate on residential water consumption in Las Vegas, Nevada, were examined during the peri...

2007
Karan Gupta Anjali V. Kulkarni

In the present work the concepts of dynamic template matching and frame differencing have been used to implement a robust automated single object tracking system. In this implementation a monochrome industrial camera has been used to grab the video frames and track an object. Using frame differencing on frame-by-frame basis a moving object, if any, is detected with high accuracy and efficiency....

Journal: :Int. J. Applied Earth Observation and Geoinformation 2012
Rupesh R. Bharti Bhupendra S. Adhikari Gopal S. Rawat

Changes in the timberline ecotone vegetation of Nanda Devi National Park (NDNP) was studied over a period of 30 years (1980–2010). Our study based on remote sensing analysis of Landsat MSS and TM images suggests no geographical shift in the upper limit of timberline, while the subalpine forest’s canopy has increased substantially. Decrease in heterogeneous reflectance pattern near upper boundar...

2012
Joaquim R. R. A. Martins John T. Hwang

This paper presents a comprehensive review of all the options available for computing derivatives of multidisciplinary systems in a unified mathematical framework. The basic building blocks for computing derivatives are first introduced: finite differencing, the complex-step method and symbolic differentiation. A generalized chain rule is derived from which it is possible to derive both algorit...

2016

Abstract—The objective of this research is to forecast the monthly exchange rate between Thai baht and the US dollar and to compare two forecasting methods. The methods are Box-Jenkins’ method and Holt’s method. Results show that the Box-Jenkins’ method is the most suitable method for the monthly Exchange Rate between Thai Baht and the US Dollar. The suitable forecasting model is ARIMA (1,1,0) ...

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