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Probability distribution
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In this study, we suggested an FSO system with RIS assistance to mitigate the effects of signal blockage in the communication system, atmospheric turbulence, and UAV’s misalignment-induced fading. In a free-space environment with obstacles, the probability density function and cumulative distribution functions of an FSO system made up of RIS are derived.
8p
vithomson
02-07-2024
0
0
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Part 1 of ebook "Introduction to statistics and data analysis: With exercises, solutions and applications in R" provides readers with contents including: Chapter 1 - Introduction and framework; Chapter 2 - Frequency measures and graphical representation of data; Chapter 3 - Measures of central tendency and dispersion; Chapter 4 - Association of two variables; Chapter 5 - Combinatorics; Chapter 6 - Elements of probability theory; Chapter 7 - Random variables; Chapter 8 - Probability distributions;...
185p
daonhiennhien
03-07-2024
3
1
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Part 2 of ebook "Introduction to time series and forecasting (Third edition)" provides readers with contents including: Chapter 7 - Time series models for financial data; Chapter 8 - Multivariate time series; Chapter 9 - State-space models; Chapter 10 - Forecasting techniques; Chapter 11 - Further topics; Appendix A - Random variables and probability distributions; Appendix B - Statistical complements; Appendix C - Mean square convergence;...
224p
daonhiennhien
03-07-2024
1
1
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Part 1 of ebook "Statistics and analysis of scientific data (Second edition)" provides readers with contents including: Chapter 1 - Theory of probability; Chapter 2 - Random variables and their distributions; Chapter 3 - Three fundamental distributions - binomial, Gaussian, and poisson; Chapter 4 - Functions of random variables and error propagation; Chapter 5 - Maximum likelihood and other methods to estimate variables; Chapter 6 - Mean, median, and average values of variables; Chapter 7 - Hypothesis testing and statistics;...
158p
daonhiennhien
03-07-2024
4
1
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Part 1 of ebook "Entropy theory and its application in environmental and water engineering" provides readers with contents including: introduction; entropy theory; principle of maximum entropy; derivation of pome-based distributions; multivariate probability distributions; principle of minimum cross-entropy; derivation of pome-based distributions;...
326p
mothoiphong
28-06-2024
2
1
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Part 2 of ebook "Physically unclonable functions: Constructions, properties and applications" provides readers with contents including: Chapter 5 - PUF-based entity identification and authentication; Chapter 6 - PUF-based key generation; Chapter 7 - Conclusion and future work; Appendix A - Notation and definations from probability theory and information theory; Appendix B - Non-intrinsic PUF(-like) constructions;...
76p
mothoiphong
28-06-2024
1
1
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This book presents the basic concepts of probability in a simple, straightforward, easy-to-understand way. It does require, however, a knowledge of arithmetic (fractions, decimals, and percents) and a knowledge of basic algebra (formulas, exponents, order of operations, etc.). If you need a review of these concepts, you can consult another of my books in this series entitled Pre-Algebra Demystified.
267p
zizaybay1103
29-05-2024
3
2
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Part 1 of ebook "Error analysis with applications in engineering" provides readers with contents including: Chapter 1 - Basic characteristics of error distribution, histograms; Chapter 2 - Random variables and probability, normal distribution; Chapter 3 - Probability distributions and their characterizations; Chapter 4 - Functions of independent random variables;...
113p
giangdongdinh
28-05-2024
5
2
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Part 2 of ebook "Cooperative systems: Control and optimization" provides readers with contents including: challenges in building very large teams; model predictive path-space iteration for multi-robot coordination; path planning for a collection of vehicles with yaw rate constraints; estimating the probability distributions of alloy impact toughness; a one-pass heuristic for cooperative communication in mobile ad hoc networks; mathematical modeling and optimization of superconducting sensors with magnetic levitation;...
206p
dongmelo
26-05-2024
5
2
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Probability and Computer science - Lecture 3: Basic probability - axioms, conditional probability, random variables, distributions. This lecture provides students with content including: application verifying polynomial identities; axioms of probability; analysis of the considered algorithm; notion of independence; notion of conditional probability; random variables; linearity of expectation;... Please refer to the detailed content of the lecture!
26p
codabach1016
03-05-2024
2
0
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Probability and Computer science - Lecture 4: Conditional probability, applications, geometric distribution. This lecture provides students with content including: application verification of matrix multiplication; application randomized min-cut; geometric distribution; coupon collector’s problem;... Please refer to the detailed content of the lecture!
24p
codabach1016
03-05-2024
2
0
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Probability and Computer science - Lecture 6: Bins and balls, applications - Hashing and bloom filters. This lecture provides students with content including: review the problem of bins and balls; poisson distribution; hashing; bloom filters;... Please refer to the detailed content of the lecture!
39p
codabach1016
03-05-2024
2
0
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Probability and Computer science - Lecture 7: Continuous distributions and poisson process. This lecture provides students with content including: continuous random variables; poisson process; queuing theory just a glance; uniform distribution; exponential distribution;... Please refer to the detailed content of the lecture!
27p
codabach1016
03-05-2024
2
0
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Probability and Computer science - Lecture 8: Central limit theorems. This lecture provides students with content including: quick look at law of large numbers; normal distribution; central limit theorem;... Please refer to the detailed content of the lecture!
13p
codabach1016
03-05-2024
7
0
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Lecture Artificial intelligence: Uncertainty. This lecture provides students with content including: probability - brief review; robot localization problem; Bayesian filter; particle filter;... Please refer to the detailed content of the lecture!
26p
codabach1016
03-05-2024
1
0
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This paper suggests the balanced approach of the new two-sided group chain sampling plan (NTSGCh) which operates with four acceptance criteria. The lifetime distribution of Log-logistic is used in this study, and the method of time truncated life test simulation is conducted. The findings proved that the NTSGCh performed better than the NTSCoGCh. Therefore, the NTSGCh is a worthy option for implementation in lot inspection in the manufacturing industry.
5p
longtimenosee10
26-04-2024
6
1
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Part 2 book "Small wind turbines for electricity and irrigation" includes content: Engineering of the support structures for wind turbines; probability distribution of the wind speed and preliminary design of wind power installations; sizing energy storage systems; design of wind pumping systems; unconventional wind driven machines; aerodynamic characteristics of blunt bodies and airfoils.
184p
dianmotminh00
22-04-2024
5
3
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Part 1 book "Geometry of quantum states - An introduction to quantum entanglement" includes content: Convexity, colours and statistics; geometry of probability distributions; much ado about spheres; complex projective spaces; outline of quantum mechanics; coherent states and group actions; the stellar representation; the space of density matrices.
245p
muasambanhan07
18-02-2024
4
1
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Part 1 book "Probability and statistics for engineering and the sciences" includes content: Overview and descriptive statistics; probability; discrete random variables and probability distributions; continuous random variables and probability distributions; joint probability distributions and random samples; point estimation; statistical intervals based on a single sample; tests of hypotheses based on a single sample.
378p
muasambanhan06
01-02-2024
2
1
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Part 2 book "Probability and statistics for engineering and the sciences" includes content: Inferences based on two samples; the analysis of variance; multifactor analysis of variance; simple linear regression and correlation; nonlinear and multiple regression; goodness of fit tests and categorical data analysis; distribution free procedures; quality control methods.
416p
muasambanhan06
01-02-2024
5
1
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