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Additional topics in probability
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In this book you will find the basics of probability theory and statistics. In addition, there are several topics that go somewhat beyond the basics but that ought to be present in an introductory course: simulation, the Poisson process, the law of large numbers, and the central limit theorem. Computers have brought many changes in statistics. In particular, the bootstrap has earned its place. It provides the possibility to derive confidence intervals and perform tests of hypotheses where traditional (normal approximation or large sample) methods are inappropriate.
484p
zizaybay1103
29-05-2024
3
1
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Ebook Algebra and Trigonometry (Eighth edition): Part 2 presents the following content: Trigonometry; Analytic Trigonometry; Additional Topics in Trigonometry; Systems of Equations and Inequalities; Matrices and Determinants; Sequences, Series, and Probability.
582p
trankora06
19-07-2023
5
3
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Ebook Mathematical statistics with applications: Part 1 presents the following content: Chapter 1: descriptive statistics, chapter 2: basic concepts from probability theory, chapter 3: additional topics in probability, chapter 4: sampling distributions, chapter 5: point estimation, chapter 6: interval estimation, chapter 7: hypothesis testing, chapter 8: linear regression models.
489p
haojiubujain02
03-07-2023
6
3
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Ebook Mathematical statistics: Basic ideas and selected topics (2nd, Vol 1): Part 2 presents the following content: Chapter 5 - asymptotic approximations, chapter 6 - inteference in the multiparameter case, appendix A - A review of basic probability theory, appendix B - Additional topics in probability and analysis, appendix C – Tables.
238p
haojiubujain02
03-07-2023
6
2
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Ebook College algebra with trigonometry (9th edition): Part 2 includes the following content: Chapter 7 trigonometric identities and conditional equations; chapter 8 additional topics in trigonometry; chapter 9 additional topics in analytic geometry; chapter 10 systems of equations and matrices; chapter 11 sequences, induction, and probability; appendix A: cumulative review exercises; appendix B: special topics; appendix C: geometric formulas; student answers SA1 instructor answers. Please refer to the documentation for more details.
409p
runthenight03
07-12-2022
15
5
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Lecture Business statistics - Chapter 4: Introduction to probability. The main topics covered in this chapter include: statistics in practice; experiments, event and their probabilities; some basic relationships of probability;... Please refer to the lecture for details!
12p
chutieubang
06-12-2022
10
2
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(bq) approximately 1/3 of the text is new material - this material maintains the style and spirit of previous editions. in order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.
242p
bautroibinhyen20
06-03-2017
88
6
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(bq) part 2 book "a first course in probability" has contents: limit theorems, additional topics in probability, simulation, the simple matlab calculations for this problem, matlab calculations for this problem,... and other contents.
208p
bautroibinhyen19
02-03-2017
50
4
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(bq) part 2 book "a first course in probability" has contents: jointly distributed random variables, properties of expectation, limit theorems, additional topics in probability, simulation. invite you to reference.
299p
bautroibinhyen19
02-03-2017
61
3
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In this paper, we extend the work on using latent cross-language topic models for identifying word translations across comparable corpora. We present a novel precisionoriented algorithm that relies on per-topic word distributions obtained by the bilingual LDA (BiLDA) latent topic model. The algorithm aims at harvesting only the most probable word translations across languages in a greedy fashion, without any prior knowledge about the language pair, relying on a symmetrization process and the one-to-one constraint.
11p
bunthai_1
06-05-2013
57
2
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In this paper, we encode topic dependencies in hierarchical multi-label Text Categorization (TC) by means of rerankers. We represent reranking hypotheses with several innovative kernels considering both the structure of the hierarchy and the probability of nodes. Additionally, to better investigate the role of category relationships, we consider two interesting cases: (i) traditional schemes in which node-fathers include all the documents of their child-categories; and (ii) more general schemes, in which children can include documents not belonging to their fathers. ...
9p
nghetay_1
07-04-2013
39
1
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