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Description: 假设检验例题
7.1 设总体 ，其中参数 ， 为未知，试指出下面统计假设中哪些是简单假设，哪些是复合假设：
（1） ； （2） ；
（3） ； （4） ；
（5） .
解：（1）是简单假设，其余位复合假设
-Hypothesis testing for Example 7.1 overall, including parameters, is unknown, pointed out that the following statistical hypothesis test which is a simple assumption, which is a compound hypothesis: (1) (2) (3) (4) (5). Solution : (1) is a simple assumption, the remaining bit composite hypothesis
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Size: 164864 |
Author: 谭永彪 |
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Description: A multi-hypothesis approach for salient object tracking in visual surveillance
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Size: 123904 |
Author: gaojunxiang |
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Description: 统计学习的Matlab程序:包括各种假设检验,模型识别和线性回归等.-The Matlab statistical learning procedures: including a variety of hypothesis testing, model identification and linear regression.
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Size: 11264 |
Author: lin |
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Description: 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
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Size: 1024 |
Author: xiazhiyu |
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Description: 实现多假设跟踪(MHT)算法的MATLAB程序包. 程序使用了Murty提出的求出二分图匹配前N个最优解的算法.-MATLAB implementation of Multi-hypothesis tracking (MHT) algorithm.
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Size: 46080 |
Author: Ren Xiaoyi |
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Description: This function performs the one sample, two tailed Kolmogorov-Smirnov hypothesis
test on a set of data samples for a given cumulative distribution function.
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Size: 1024 |
Author: xie |
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Description: "This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides concepts and results in measure-theoretic probability theory that are useful in statistics. The second chapter introduces some fundamental concepts in statistical decision theory and inference. Chapters 3 to 7 contain detailed studies on some important topics: unbiased estimation, parametric estimation, nonparametric estimation, hypothesis testing, and confidence sets. A large number of exercises in each chapter provide not only practice problems for students, but also many additional results.
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Size: 4373504 |
Author: huierqing |
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Description: 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.
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Size: 1024 |
Author: Wang Geng |
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Description: 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 distribution law with identical Scientifical variance.
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Size: 1024 |
Author: kick61 |
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Description: Probability Hypothesis Density filter versus Multiple
Hypothesis Tracking
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Size: 199680 |
Author: N |
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Description: 多假设跟踪算法（MHT）是一种在数据关联发生冲突时，形成多种假设以延迟做决定的逻辑。与PDA合并多种假设的做法不同，MHT算法把多个假设继续传递，让后续的观测数据解决这种不确定性。举个例子，PDA对所有假设以对应的概率进行加权平均，然后再对航迹进行更新。因此，如果有10个假设，PDA会将这10个假设有效的合并只留下一个假设。而另一方面，MHT却是保持这10个假设的子集并延迟决定，这样可以利用之后的观测数据解决当前扫描帧的不确定性问题。 -Multiple Hypothesis Tracking (MHT) is a kind of data association in the event of a conflict, the formation of a variety of assumptions in order to delay a decision logic. PDA combined with the practice of a variety of different assumptions, MHT algorithm is to pass on to a number of assumptions, so that follow-up observations to resolve this uncertainty. For example, PDA for all assumptions to the corresponding probability-weighted average, and then update the right track. Therefore, if there are 10 assumptions, PDA will be assumed that an effective merger of 10, leaving only a hypothesis. On the other hand, MHT was to keep this a subset of 10 hypothetical and delay the decision, so that after the observational data can be used to resolve the current scan frame uncertainties.
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Size: 129024 |
Author: haiser |
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Description: 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 occurring at any time point is the same for each population).
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Size: 4096 |
Author: Kriubha |
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Description: 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.
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Size: 78848 |
Author: 蔡露 |
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Description: binary hypothesis test solution
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Size: 23552 |
Author: David |
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Description: Probability hypothesis density filter for MTT tracking
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Size: 3072 |
Author: pedram poshtiban |
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Description: Tests hypothesis that 2 variables are equally correlated with a 3rd if values from all 3 are paired
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Size: 2048 |
Author: rashsoush |
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Description: 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, its distribution under the establishment of the H0 known.
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Size: 704512 |
Author: mj |
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Description: how to une one way anova basics starts with hypothesis testing
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Size: 87040 |
Author: ashwini |
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Description: Shadow detection and removal is an important task when dealing with colour outdoor images. Shadows are
generated by a local and relative absence of light. Shadows are, first of all, a local decrease in the amount of
light that reaches a surface. Secondly, they are a local change in the amount of light rejected by a surface toward
the observer. Most shadow detection and segmentation methods are based on image analysis. However, some
factors will affect the detection result due to the complexity of the circumstances, like water and a low intensity
roof because of the special material as they are easy mistaken as shadows. In this paper we present a hypothesis
test to detect shadows from the images and then energy function concept is used to remove the shadow from the
image.
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Size: 382976 |
Author: dermeche |
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Description: 。该法根据所研
究的问题构造检验统计量，并利用手头样本，按排列组合的原理导出检验统计量的理论抽样分布；
若难以导出确切的理论分布，则采用抽样模拟的方法估计其近似分布，然后求出从该分布中获得
手头样本及更极端样本的概率(P值)，并界定此概率值，作出推论。-It is sample．based distribution-free method，which makes use of“permutation or combination”to get the theo．
retical sampling distribution of the constmcted“statistics”，or get
the approximate distribution by simulation under
the nuU hypothesis，gets the pmbability of the sample-at—hand，and dmws a conclusion after comparing the probability
w“h the size of the test．It especiaUy supports
small samples without distributional assumptions(e．g．normdb2y)and
complex des培ns for which traditional methods are hard to solVe．
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Size: 8192 |
Author: 徐伟云 |
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