Remote sensing has been widely used to estimate crop area and production. Forecasting the year-by-year is key step realizing production forecasting. In this letter, a methodology calculate rice using NOAA AVHRR Landsat TM data introduced. The in 1992 was estimated data. 'Rice' pixels 1994 were calculated change trend determined for two years. With linear statistical model, of forecast. Its accuracy 84.5 per cent compared released by Agricultural Investigation Team(AIT) Hubei province. same...

There are many types of autoregressive patterns in financial time series and they form a transmission process. Here, we define quantitatively through an econometrical regression model. We present computational algorithm that sets the as nodes transmissions between edges then converts process into network. utilised daily Shanghai (securities) composite index to study characteristics patterns. found statistically significant evidence market is not random there similar parts whole series. A few...

The linear regression parameters between two time series can be different under lengths of observation period. If we study the whole period by sliding window a short period, change is process dynamic transmission over time. We tackle fundamental research that presents simple and efficient computational scheme: patterns algorithm, which transforms into directed weighted networks. (nodes) are defined combination intervals results significance testing sizes window. transmissions adjacent as...

The crude oil futures market plays a critical role in energy finance. To gain greater investment return, scholars and traders use technical indicators when selecting trading strategies market. In this paper, the authors used moving average prices of with genetic algorithms to generate profitable rules. We defined individuals different combinations period lengths calculation methods as rules search for suitable periods appropriate methods. daily NYMEX from 1983 2013 evaluate select compared...

Autocorrelation or nonstationarity may seriously impact the performance of conventional Hotelling's T2 charts. We suggest modeling processes with multivariate autoregressive integrated moving average time series models and propose two model-based monitoring One monitors predicted value provides information about need for mean adjustments. The other is a control chart applied to residuals. run length residual-based compared observed data-based group first-order vector models. show that new in...

The average run length (ARL) of conventional control charts is typically computed assuming temporal independence. However, this assumption frequently violated in practical applications. Alternative ARL computations have often been conducted via time consuming and yet not necessarily very accurate simulations. In article, we develop a class Markov chain models for evaluating the performance traditional autocorrelated processes. We show extensions from univariate AR(1) model to general...

Because the volume of information available online is growing at breakneck speed, keeping up with meaning and communicated by media netizens a new challenge both for scholars companies who must address public relations crises. Most current theories tools are directed identifying one website or piece news do not attempt to develop rapid understanding all websites covering topic. This paper represents an effort integrate statistics, word segmentation, complex networks visualization analyze...

Fluctuations of the nonlinear time series are driven by traverses multiscale conformations from one state to another. Aiming characterize evolution with changes in and frequency domains, we present an algorithm that combines wavelet transform complex network. Based on defining conformation using a set fluctuation states different components at each point rather than single observable value, construct conformational To illustrate, data Shanghai’s composition index daily 1991 2014 as example,...

This paper calculates energy efficiency and exergy of household utilization in rural China. Provincial efficiencies for space heating sector, cooking sector hot water are calculated analyzed. Result shows that national heating, 27.43, 15.32 13.11%, respectively. Exergy 1.63, 4.42 1.16%, Energy Xinjiang, Tianjin, Beijing Shanxi higher than other provinces because the wide coal. In eastern China like Shanghai, Jiangssu, Fujian, proportion biomass is quite large which results a low efficiency....