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File Ref.No.24326/GA - IV - J2/2013/CU  UNIVERSITY OF CALICUT
File Ref.No.24326/GA - IV - J2/2013/CU UNIVERSITY OF CALICUT

... property and relationships only). 20 hours Module 3: Estimation of Parameter: Point Estimation. Desirable properties of a good estimator, unbiasedness, consistency, sufficiency, Fisher Neyman factorization theorem(Statement and application only), efficiency, Cramer Rao inequality. 25 hours Module 4: ...
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... you will need the courseID:krueger03662_ This online program provides resources to aid the student learning with videos, multiple examples, tutorial services and links to the instructor for questions on particular problems. Students may attempt each problem as often as needed in order to get it corr ...
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... methods used will determine the possible uses to which the data can be meaningfully applied. The important thing to keep in mind is that data collected incorrectly may invalidate any conclusion we may draw from it. Once collected, it is often useful to describe the data through displays or summaries ...
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... another .We then study expected values of functions of several random variables, including covariance and correlation as measures of the degree of association between two variables. ...
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... time. Homework can be worked on after a due date, if you wish to continue to improve the score, BUT Quizzes must be taken by the due dates. You have two attempts at each quiz. If you have questions on the first attempt, please ask before you take the second. Most of the second attempt questions will ...
on the first–order efficiency and asymptotic normality of maximum
on the first–order efficiency and asymptotic normality of maximum

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... time. Homework can be worked on after a due date, if you wish to continue to improve the score, BUT Quizzes must be taken by the due dates. You have two attempts at each quiz. If you have questions on the first attempt, please ask before you take the second. Most of the second attempt questions will ...
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Certifying the Optimality of a Distributed State

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... The decoding algorithm collects a predetermined number m of output symbols, which determines the values of some number l of intermediate symbols. The decoding algorithm for the pre-code is then applied to these recovered intermediate values to obtain the values of the input symbols. The performance ...
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... NOTE : We will often deal with both probabilities of single events, and also probabilities for intersection events. For convenience, and to reflect connections with distribution theory that will be presented in Chapter 2, we will use the following terminology; for events E and F P (E) is the margina ...
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Probability

Probability is the measure of the likeliness that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 indicates certainty). The higher the probability of an event, the more certain we are that the event will occur. A simple example is the toss of a fair (unbiased) coin. Since the two outcomes are equally probable, the probability of ""heads"" equals the probability of ""tails"", so the probability is 1/2 (or 50%) chance of either ""heads"" or ""tails"".These concepts have been given an axiomatic mathematical formalization in probability theory (see probability axioms), which is used widely in such areas of study as mathematics, statistics, finance, gambling, science (in particular physics), artificial intelligence/machine learning, computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems.
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