| 31. | Occupancy grid algorithms compute approximate posterior estimates for these random variables.
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| 32. | These are explained in the article on convergence of random variables.
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| 33. | Let x be an exponentially distributed random variable with parameter 1.
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| 34. | Let be two random variables with means and finite variances respectively.
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| 35. | Similarly the complex random variable is also characterized by moment functions.
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| 36. | The fidelity deals with the marginal distribution of the random variables.
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| 37. | Suppose a random variable " Y " has a geometric distribution
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| 38. | Let denote the random variable given by the word length.
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| 39. | For interpretation of these modes, see Convergence of random variables.
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| 40. | In general, random variables may be uncorrelated but statistically dependent.
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