搜索资源列表
MK
- 气象上常用的检验突变的一个程序，也叫做MK算法 值需要添加文件路径，可直接运行-Weather on the commonly used mutation testing a procedure, also known as MK algorithm will need to add the file path value can be directly run
M-K_trend_origin
- M-K趋势检验,检验M-K值，非参数检验。-MK trend test, test MK value, non-parametric tests.
MK
- 气象常用程序MK突变检验程序，包含了fortran程序及练习所使用的数据-Weather MK mutation testing procedures commonly used procedures, including the fortran program and the data used to practice
MK
- 用于非线性时间序列的滑动突变检验，非参数方法-detection abrupt MK
1234
- 用m-k方法，利用批处理的方法，求温度或者降水序列的突变时间。-Mk method with batch for mutations
matlab-MK
- matlab MK检验程序,用来检验时间序列突变型-matlab_MK test
M-K-method
- M-K检验程序，对时间序列的非参数检验，检验变异点-MK inspection procedures, the time series of non-parametric test, test point mutation
mk
- m-k检验，突变分析，检验发生突变的时间点-m-k testing, mutation analysis，Time point mutation test
h3lc
- Fortran 边界元 三维Helmholtz-3-dimensional C Helmholtz integral operators Lk,Mk,Mkt, and Nk over a triangle
h3alc
- Fortran 边界元 面元Helmholtz-the discrete form of the 3-dimensional C axisymmetric Helmholtz integral operators Lk,Mk,Mkt, and Nk over a C conical element.
matlab-improved-MK-test
- Mann-Kendall 方法是一种非参数统计检验方法。非参数检验方法也称无分布检验,其 优点是不需要样本遵从一定的分布，改进了其中缺点，使用效果更好-Mann-Kendall method
MK
- 数据突变分析。用于气象、水文数据的趋势突变分析的程序代码。-Data mutation analysis. Program code for analysis of the trend of meteorological and hydrological data.
Monte-Carlo
- 某种商品进货价格为 a 元，出售价格为 b 元，假设对该商品每天早晨进货配齐 n 个，每日顾客 相互独立地到来，平均每日 m 人，且服从普阿松（ Poisson）分布 ! )( k em kP − mk ，其中 k 为每日到来 的人数。问当 a 2、 b＝3、 m 10 时，每天早晨该商品备齐多少个可得到最大利润。-One kind of goods with purchasing price a RMB, sale prove b RMB, su
MK
- 目前见过最简单，但是执行效率高的通用MK检验程序，-Has now seen the most simple, but the implementation of high efficiency common MK test procedures,
mk
- 检测序列的变化趋势，也可以进行突变点检验(The change trend of the detection sequence can also be tested by the mutation point)
MK
- 根据中国气象站点数据，经过处理，对其进行突变分析。(According to the data of China Meteorological Station, the mutation analysis was carried out.)
code
- 用C语言写的MK趋势检验代码，自己用于对干旱进行检验(Mann-Kendall trend test C code)
mk
- 常用于分析降水、径流、气温等要素时间序列的趋势变化，其优点在于样本不需要遵循某一特定的分布，而且很少受到异常值的的干扰，计算简便。(It is often used to analyze the trend change of time series of factors such as precipitation, runoff and air temperature. Its advantage is that the sample does not need to follow a spe