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回归分析,对一个地区的灌溉效益分析和溉溉发展预测,有实用价值;着重在三个方面:(1)无试验资料或调查资料时,推断灌溉面积上的粮食产量,进而计算灌溉效益;(2)分析不同地区的灌溉水平;(3)在农业规划中,预测粮食亩产和控制灌溉率。灌溉率与粮食亩产量具有相关关系变量之间的关系一般分为两类:一类是确定性的函数关系;一类是不确定性的相关关系。后者是指两个或两个以上的变量之间,虽然存在客观的密切联系,但不能由一个(或几个)变量的数值,精确地求出另一个变量的值。这类具有相关关系的量,在工农业生产和科学试验中是常见的。
Regression analysis has practical value for the analysis of irrigation benefit and prediction of irrigation development in a region. The emphasis is on three aspects: (1) when there is no experimental data or survey data, deduce the grain yield on the irrigated area and then calculate the irrigation benefit; (2) Analyze irrigation levels in different regions; (3) Predict grain yields and control irrigation rates in agricultural planning. The relationship between irrigation rate and grain yield per mu is generally divided into two categories: one is a deterministic function; one is the relationship between uncertainties. The latter refers to the two or more variables, although there is an objective and close relationship, but can not be a (one or several) the value of the variable, accurately calculate the value of another variable. Such related quantities are common in industrial and agricultural production and scientific experiments.