منابع مشابه
The Bootstrap
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one’s data or a model estimated from the data. Under conditions that hold in a wide variety of econometric applications, the bootstrap provides approximations to distributions of statistics, coverage probabilities of confidence intervals, and rejection probabilities of hypothesis tests that...
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The bootstrap is a resampling method for statistical inference. It is commonly used to estimate confidence intervals, but it can also be used to estimate bias and variance of an estimator or calibrate hypothesis tests. A short of papers illustrative of the diversity of recent environmentric applications of the bootstrap includes toxicology [2], fisheries surveys [27], groundwater and air poluti...
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The bootstrap, introduced by Efron (1979), merges simulation with formal model-based statistical inference. A statistical model for a sample Xn of size n is a family of distributions {Pθ,n : θ ∈ Θ}. The parameter space Θ is typically metric, possibly infinite-dimensional. The value of θ that identifies the true distribution from which Xn is drawn is unknown. Suppose that θ̂n = θ̂n(Xn) is a consis...
متن کاملBootstrap AMG
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We introduce bootstrapping as a generic method for improving channel equalization in TDMA cellular systems where the channels remain approximately constant over a transmitted burst. Bootstrapping implies that the detection is repeated, using an equalizer tuned with detected symbols. The procedure can be iterated to achieve even better performance. The initial equalizer is assumed to be tuned us...
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ژورنال
عنوان ژورنال: Significance
سال: 2010
ISSN: 1740-9705
DOI: 10.1111/j.1740-9713.2010.00463.x