<--- Back to Details
First PageDocument Content
Time series analysis / Pricing / Economy / Commodity markets / Energy economics / Statistical tests / Marketing / Statistics / Stationary process / Unit root test / Price of oil / Trend stationary
Date: 2016-08-22 13:41:48
Time series analysis
Pricing
Economy
Commodity markets
Energy economics
Statistical tests
Marketing
Statistics
Stationary process
Unit root test
Price of oil
Trend stationary

Globalization of Steam Coal Markets

Add to Reading List

Source URL: www.diw.de

Download Document from Source Website

File Size: 265,65 KB

Share Document on Facebook

Similar Documents

A Process over all Stationary Covariance Kernels Andrew Gordon Wilson June 9, 2012 Abstract I define a process over all stationary covariance kernels. I show how one might be able to perform inference that scales as O(nm

DocID: 1sZ1U - View Document

Six Results from the Frequency Domain • Suppose {Yt} is a covariance stationary process with no deterministic component. By Wold’s Decomposition Theorem (see, e.g., Sargent, Macroeconomic Theory, chapter XI, section

DocID: 1sr4m - View Document

Graph theory / Mathematics / Computational complexity theory / Operations research / Combinatorial optimization / Routing algorithms / Search algorithms / Edsger W. Dijkstra / Travelling salesman problem / A* search algorithm / Flow network / Tree traversal

Approximation bounds for Black Hole Search problems? Ralf Klasing?? , Euripides Markou? ? ? , Tomasz Radzik† , Fabiano Sarracco‡ Abstract. A black hole is a highly harmful stationary process residing in a node of a n

DocID: 1rjuk - View Document

Mathematical analysis / Probability / Stochastic processes / Stochastic differential equations / Markov models / Signal processing / Stationary process / Derivative / Spectrum / Normal distribution / OrnsteinUhlenbeck process / Markov chain

STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE U. KEICH Abstract. In [5] we define a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. Thi

DocID: 1r1JJ - View Document

Covariance and correlation / Probability theory / Stochastic processes / Data / Mathematical analysis / Spatial data analysis / Signal processing / Stationary process / Correlation function / Van Lieshout / Correlation and dependence / Point process

Ann Inst Stat Math:905–928 DOIs10463z Summary statistics for inhomogeneous marked point processes O. Cronie · M. N. M. van Lieshout

DocID: 1qV54 - View Document