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Functional limit theorems
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Ebook Advanced calculus (2nd Edition) presents the following content: Chapter 1: numbers; chapter 2: sequences; chapter 3: functions, limits, and continuity; chapter 4: derivatives; chapter 5: integrals; chapter 6: partial derivatives; chapter 7: vectors; chapter 8: applications of partial derivatives; chapter 9: multiple integrals; chapter 10: line integrals, surface integrals, and integral theorems; chapter 11: infinite series; chapter 12: improper integrals; chapter 13: fourier series; chapter 14: fourier integrals; chapter 15: gamma and beta functions; chapter 16: functions of a complex...
442p
zizaybay1103
29-05-2024
3
2
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Ebook Calculus presents the following content: Chapter 1 basic properties of numbers, chapter 2 numbers of various sorts, chapter 3 functions, chapter 4 graphs, chapter 5 limits, chapter 6 continuous functions, chapter 7 three hard theorems, chapter 8 least upper bounds, chapter 9 derivatives, chapter 10 differentiation, chapter 11 significance of the derivative, chapter 12 inverse functions, chapter 13 integrals,...
630p
zizaybay1103
29-05-2024
3
2
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Part 2 book "Mathematics for physics and physicists" includes content: Physical applications of the fourier transform; bras, kets, and all that sort of thing; green functions; tensors; differential forms; groups and group representations; introduction to probability theory; random variables; convergence of random variables - central limit theorem.
288p
muasambanhan02
18-12-2023
4
2
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Part 1 of ebook "Understanding analysis" provides readers with contents including: chapter 1 - the real numbers; chapter 2 - sequences and series; chapter 3 - basic topology of R; chapter 4 - functional limits and continuity;...
155p
thamnhuocgiai
24-09-2023
4
3
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Continued part 1, part 2 of ebook "Probability theory" provides readers with contents including: properties of the trajectories of random walks zero-one laws; random walks and factorisation identities; sequences of dependent trials markov chains; information and entropy; stationary sequences; stochastic recursive sequences; continuous time random processes; processes with independent increments; functional limit theorems;...
409p
hanlinhchi
29-08-2023
6
3
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Ebook 3000 solved problems in calculus: Part 1 includes contents: Chapter 1 inequalities; chapter 2 absolute value; chapter 3 lines; chapter 4 circles; chapter 5 functions and their graphs; chapter 6 limits; chapter 7 continuity; chapter 8 the derivative; chapter 9 the chain rule; chapter 10 trigonometric functions and their derivatives; chapter 11 rolle's theorem, the mean value theorem, and the sign of the derivative; chapter 12 higher-order derivatives and implicit differentiation; chapter 13 maxima and minima; chapter 14 related rates; chapter 15 curve sketching (graphs); chapter 16 app...
179p
haojiubujain01
06-06-2023
5
2
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Ebook Mathematics for Economists: Part 1 presents the following content: Limits and continuity; logarithmic differentiation; second and higher order differentiation; homogeneous function and euler’s theorem; use of differentiation in economics; maxima and minima: two variables and constrained maxima and minima with;...Please refer to the documentation for more details.
251p
chankora
16-06-2023
3
2
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Part 1 of ebook "Mathematical statistics for economics and business" provide readers with content about: elements of probability theory; random variables, densities, and cumulative distribution functions; expectations and moments of random variables; parametric families of density functions; basic asymptotics; sampling, sample moments and sampling distributions;...
388p
damtuyetha
16-02-2023
5
3
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Part 1 of book "Introduction to machine learning" provide with knowledge about: a taste of machine learning; probability theory; basic algorithms; density estimation; limit theorems; panzer windows; exponential families; maximum likelihood estimation;...
98p
britaikridanik
05-07-2022
26
4
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In mathematical analysis, the intermediate value theorem states that if a continuous function, f, with an interval, [a, b], as its domain, takes values f(a) and f(b) at each end of the interval, then it also takes any value between f(a) and f(b) at some point within the interval. In lecture Mathematics 53 - Lecture 1.5, you will learn: The intermediate value theorem, the squeeze theorem, limits and continuity of trigonometric functions.
32p
larachdumlanat122
26-11-2020
12
2
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Thus, in this paper, we will construct an estimation scheme for Γ(A) based on an irregular sample {Xti, i = 0, 1, . . .} of X and study its asymptotic behavior. In particular, we first introduce an unbiased estimator for when X is a standard Brownian motion and provide a functional central limit theorem (Theorem 2.2) for the error process.
14p
tamynhan8
04-11-2020
6
1
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The asymptotic properties of a general functional of the Gasser–Muller estimator are investigated in the Sobolev space. The convergence rate, consistency, and central limit theorem are established.
12p
danhdanh27
07-01-2019
24
1
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The pressure is thus a given time-dependent function and the Coulomb criterion is reduced to a Mises-like standard law of friction. It is shown here that Melan and Koiter theorems can be applied again as in standard plasticity. The dependence of the yield limit on the loading amplitude is however not classical and the extension of the static and kinematic approaches is discussed to obtain the critical shakedown load or the limit load. The validity of the assumption of small coupling is also explored by numerical simulation in an practicle example.
9p
thienthanquydu
21-10-2018
38
1
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Lecture Mathematics 53 - Lecture 1.1 provides knowledge of the limit of a function and one-sided limits. This chapter presents the following content: Limit of a function: An intuitive approach, limit theorems, one-sided limits.
34p
allbymyself_06
26-01-2016
54
2
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Lecture Mathematics 53 - Lecture 1.4 provides knowledge of the continuity of functions. The main contents of this chapter include all of the following: Continuity of functions, continuity on an interval. Inviting you refer.
49p
allbymyself_06
26-01-2016
35
2
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In mathematical analysis, the intermediate value theorem states that if a continuous function, f, with an interval, [a, b], as its domain, takes values f(a) and f(b) at each end of the interval, then it also takes any value between f(a) and f(b) at some point within the interval. In lecture Mathematics 53 - Lecture 1.5, you will learn: The intermediate value theorem, the squeeze theorem, limits and continuity of trigonometric functions.
27p
allbymyself_06
26-01-2016
61
1
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Stable laws { also called -stable or Levy-stable { are a rich family of probability distributions that allow skewness and heavy tails and have many interesting mathematical properties. They appear in the context of the Generalized Central Limit Theorem which states that the only possible non-trivial limit of normalized sums of independent identically distributed variables is -stable. The Standard Central Limit Theorem states that the limit of normalized sums of independent identically distributed terms with nite variance is Gaussian (-stable with = 2).
175p
thuymonguyen88
07-05-2013
65
17
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The purpose of this book is to offer a unifying conceptual framework for the normative study of taxation and related subjects in public eco- nomics. Such a framework necessarily begins with a statement of the social objective, taken here to be the maximization of a conventional social welfare function, and then asks how various government instru- ments are best orchestrated to achieve it. The structure is built on the foundation provided by the fundamental theorems of welfare econom- ics.
477p
layon_5
28-03-2013
59
14
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We find a sharp combinatorial bound for the metric entropy of sets in Rn and general classes of functions. This solves two basic combinatorial conjectures on the empirical processes. 1. A class of functions satisfies the uniform Central Limit Theorem if the square root of its combinatorial dimension is integrable. 2. The uniform entropy is equivalent to the combinatorial dimension under minimal regularity. Our method also constructs a nicely bounded coordinate section of a symmetric convex body in Rn . ...
47p
noel_noel
17-01-2013
55
9
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Trong bài báo này một số điều kiện nhất định để đảm bảo cho quá trình chuyển một đồng nhất Markov {X (t), t ≥ 0} pháp luật của các chức năng tách rời của quá trình: φ (X (t)) dt, hội tụ của pháp luật bình thườngN (0, σ 2) là T → ∞, trong đó φ là một ánh xạ từ không gian trạng thái E vào R.
19p
phalinh21
01-09-2011
42
4
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