求翻译：将时间序列分析引入到气温时间序列预测的研究中，深入分析气温样本数据，并对其建立ARMA模型。采用最佳准则函数法确定模型的阶数，并利用自相关函数对模型的残差进行了检验。最终对该模型的预测，分别运用条件期望预测和适时修正预测两种方法，通过条件期望预测值，适时修正预测值与真实值的比较，适时修正预测精确度比条件期望预测的精确度高。是什么意思？

Time series analysis is introduced to the study of the temperature time series prediction, in-depth analysis of the temperature of the sample data, and establishment of arma model. The best criterion function to determine the order of the model, and the autocorrelation function of the residuals of t

Time series analysis will be introduced to the temperature time-series forecasts in the study sample temperature, in-depth analysis of the data, and establish ARMA model. The best method to establish criteria for the model number, and use of self-related functions for the model of the residual error

Introduces the temperature time series forecast the time series analysis in the research, analyzes the temperature sample data thoroughly, and establishes the ARMA model to it.Uses the best criterion function method determination model the exponent number, and has carried on the examination using th

Introduction to time series analysis of temperature time series forecasting studies, in-depth analysis of temperature of sample data, and on the establishment of ARMA models. Best standard function method to determine model order and use of model residuals autocorrelation function for inspection. Ev

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