Non-parametric modelling in Geoscience: Application, optimization and uncertainty estimation - Tobias Sauter
-35% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
In Geosciences inferences on processes are usually derived from irregularly measured data in both space and time. Such empirical time series are often characterized by changing boundary conditions, nonlinearity and uncertainty. Hence, phenomenological knowledge of processes is indispensable in order to derive physically meaningful equations describing the underlying dynamical system. However, unambiguous in ... Täydellinen kuvaus
Saatat myös pitää
TOP
Ocean: Earth's Last Wilderness
David Attenborough, Colin Butfield
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
This Way Up: When Maps Go Wrong (and Why it Matters)
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
They Poisoned the World: Life and Death in the Age of Forever Chemicals
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
This Way Up: When Maps Go Wrong (and Why it Matters)
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Word for World Is Water: World-Building and Creative Resistance Through Liquid Alliances
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Forest Unseen: A Year's Watch in Nature
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
An Immense World: How Animal Senses Reveal the Hidden Realms Around Us
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Earth: The Definitive Visual Guide
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Stahl's Essential Psychopharmacology: Neuroscientific Basis and Practical Applications
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
All We Can Save: Truth, Courage, and Solutions for the Climate Crisis
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Material World: A Substantial Story of Our Past and Future
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Clearing the Air: A Hopeful Guide to Solving Climate Change - in 50 Questions and Answers
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Power of Geography: Ten Maps That Reveal the Future of Our World
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Hinterlands: Journeys through Europe's Unfinished Frontiers
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Less is More: How Degrowth Will Save the World
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Hidden Life of Trees: What They Feel, How They Communicate
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Nature's Last Dance: 'Will leave you surging with a desire to make the planet a better place' Professor Adam Hart
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Book of Hope: A Survival Guide for an Endangered Planet
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Last Chance to See
Douglas Adams, Mark Carwardine
-35% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
In Geosciences inferences on processes are usually derived from irregularly measured data in both space and time. Such empirical time series are often characterized by changing boundary conditions, nonlinearity and uncertainty. Hence, phenomenological knowledge of processes is indispensable in order to derive physically meaningful equations describing the underlying dynamical system. However, unambiguous inferences prove to be difficult when nonlinearity and non-stationarity are present. In contrast to numerical models, data-driven models are specifically built to be parsimonious with a minimal set of adjustable parameters, intended to reproduce the statistical properties of signals. This dissertation focuses on the fundamental aspects of uncertainty estimation of nonlinear data-driven prediction methods. Within this framework, the essential factors in the model development process are emphasized and discussed on the basis of both climatological and hydrological time series. A key issue of the thesis is whether the analysis of uncertainties might contribute to process understanding and eventually support the optimization of data-driven models.
Lisätietoja
| Kirjoittaja | Tobias Sauter |
|---|---|
| Julkaisija | Südwestdeutscher Verlag für Hochschulschriften |
| Julkaisuvuosi | 2012 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783838131061 |