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STAT_KOLMOGOROV_TEST.rar
- This function performs the one sample, two tailed Kolmogorov-Smirnov hypothesis test on a set of data samples for a given cumulative distribution function.,This function performs the one sample, two tailed Kolmogorov-Smirnov hypothesis test on a se
MHT
- 采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surv
sc
- score检验统计，随机分布在gamma=-1~+1之间的假设检验。-score test statistics, the random distribution in the gamma =- 1 ~+1 between the hypothesis testing
probcheck
- 对实验数据进行平均值的正态分布单侧检验，总体标准差已知，假设检验的置信水平为5 ，假设检验的平均值为100.-Experimental data on the average one-sided test of normal distribution, the overall standard deviation is known, hypothesis testing for the 5 confidence level, assuming an average of 100 tests.
Student
- Subject: Statistical Signal Processing. Scope: Radiophysics. We consider the statistical criterion of Student (t-test), a truncated-prednazna to test the hypothesis of equality of average values of two samples of ma-logo, each of which has a normal d
logrank
- Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event oc
HMM
- This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. T
lunwen
- 正态总体均值的 F检验法 ： 研究了正态分布总体均值的双边假设检验问题， 得到了一个新的检验方法 一一F检验法。-Normal Population Mean F test: study of the normal population mean of the bilateral hypothesis test problem, get a new test method of 11 F test.
prob_check
- 假设检验演示程序 单侧假设检验 书上的源代码 希望对其他人有用-Sided hypothesis test hypothesis testing demo program source code book useful for hope to others
suijiguocheng10
- 参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差. 为给出两者界限，找一检验统计量T，在H0成立下其分布已知.-Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic
logrank
- 比较生存曲线可以用统计假设测试日志秩检验。它是用来测试的零假设，没有任何区别的人口的生存曲线（即概率事件发生在任何时间点是相同的每个人口）.这个函数使用卡普兰曲线的程序来估计生存函数.-Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there
test
- 方差比检验代码，可以用来进行有效市场假说的检验，另外是一部分-Variance ratio test code can be used for the test of the efficient market hypothesis, the other is part of the
jiashejianyan
- 参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差.为给出两者界限，找一检验统计量T，在H0成立下其分布已知。-Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T
Cyclothings
- This code implements an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. An existing statistical hypothesis test for the presence of cyclostationarity is extended to multiple cyclic frequencies and
jsjy
- 这个程序可以实现一个正态总体参数的假设检验问题-This program can realize hypothesis test of a normal population parameter
F-test
- 用残差法（F检验法）,残差检验法来辨识模型阶次，在模型阶次确定的情况下，依据递推法辨识出模型参数。这种利用残差定阶的方法需要在获得模型参数值之后，求得模型残差序列，并借以统计假设检验方法对残差的方差进行显著性检验来确定模型的阶次。-Extrapolation identified model parameters. This use of the residual method needs to be in order after obtaining the model parameter va
Shapiro-Wilk-test-
- SWTEST Shapiro-Wilk parametric hypothesis test of composite normality. [H, pValue, SWstatistic] = SWTEST(X, ALPHA, TAIL) performs the Shapiro-Wilk test to determine if the null hypothesis of composite normality is a reasonable assumption reg
1
- 运用R语言进行正态分布时的期望假设检验与方差假设检验-R languages using normal expectation and variance when the hypothesis test hypothesis testing
2
- 运用R语言进行正态分布时的数学期望假设检验与方差假设检验-R languages using normal expectation and variance when the hypothesis test hypothesis testing
HW2
- Multivariate Probability, Covariance & Hypothesis Testing