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110627s2014||||enk o ||1 0|eng|d |
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|a 9781139103947 (ebook)
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|z 9781107020405 (hardback)
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|z 9781107652521 (paperback)
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|a UkCbUP
|b eng
|c UkCbUP
|e rda
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|a QC20.7.M43
|b L43 2014
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|a 515/.42
|2 23
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|a Leadbetter, Ross,
|e author.
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| 245 |
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|a A Basic Course in Measure and Probability :
|b Theory for Applications /
|c Ross Leadbetter, Stamatis Cambanis, Vladas Pipiras.
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|a A Basic Course in Measure & Probability
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| 264 |
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1 |
|a Cambridge :
|b Cambridge University Press,
|c 2014.
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| 300 |
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|a 1 online resource (376 pages) :
|b digital, PDF file(s).
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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|a Title from publisher's bibliographic system (viewed on 13 Apr 2016).
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|a Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.
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| 650 |
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0 |
|a Measure theory
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| 650 |
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0 |
|a Probabilities
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| 700 |
1 |
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|a Cambanis, Stamatis,
|e author.
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| 700 |
1 |
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|a Pipiras, Vladas,
|e author.
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| 776 |
0 |
8 |
|i Print version:
|z 9781107020405
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| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1017/CBO9781139103947
|z View fulltext via EzAccess
|