Übersetzung für "Statistical modeling" in Deutsch

Decision trees are one of the most established methods for statistical modeling.

It is likewise possible, in addition, to employ a statistical modeling for the purpose of computational compensation of known systematic errors.

Since the 1970s, the primary way companies have performed data science has been to hire teams of data scientists, and equip them with tools like R, Python, SAS, and SQL to execute predictive and statistical modeling.

On the applied side the institute focuses on methodical investigations including stochastic simulation (queuing systems) and statistical modeling (generalized linear models).

Statistical modeling of the uncertain knowledge of the values of such a vector and its propagation can then, in principle, be carried out by using the concepts and framework of GUM Supplement 2.

The aim of the research group is to contribute to our understanding of turbulent flows by means of statistical theories, modeling, and numerical simulations.

The group of mainly young investigators combined sedimentological and geochemical surveys, such as radiocarbon dating and statistical modeling.

Divis intelligent solutions GmbH supports the project with its competencies in the area of data-driven process optimization based on modern statistical methods for modeling.

The following are updated detailed getting started videos on Risk Simulator, featuring all the new tools such as Auto ARIMA, GARCH, JS Curves, Cubic Spline, Maximum Likelihood, Data Diagnostics, Statistical Analysis, Modeling Toolkit, and more…

Emphasis is placed on risk measures, statistical modeling of financial risks, development and implementation of risk management strategies, and design of risk transfer instruments.

In resurfacing, all non-CDR regions on the surface of the antibody are changed by a combination of molecular modeling, statistical analyses and mutagenesis so that they resemble the surface of antibodies of the target organism.

The lower the production is, the greater will be the number of empty compartments, which means that for production of a product with new parameter values the likelihood is great that there will not yet be any filled compartment, i.e. not yet any correction factor present for it and the statistical modeling thus comes to nothing.

The German Research Foundation (DFG) has granted funding for Professor Frauke Kreuter's research project A2.15 "Statistical Modeling Using Mouse Movements to Model Measurement Error and Improve Data Quality in Web Surveys".

The fact is that, in addition to the use of nonlinear modeling methods (in contrast to the usual generalized linear models derived from statistical modeling) and knowledge extraction from data, data mining rests on the fundamental idea that models can be derived from data with the help of algorithms and that this modeling process can run automatically for the most part – because the algorithm "does the work."

We are using modern data science technologies, including visualization, machine learning, and statistical modeling to extract biological insight from high-throughput genomic and post-genomic data.

The fact is that, in addition to the use of nonlinear modeling methods (in contrast to the usual generalized linear models derived from statistical modeling) and knowledge extraction from data, data mining rests on the fundamental idea that models can be derived from data with the help of algorithms and that this modeling process can run automatically for the most part – because the algorithm “does the work.”

Sebastian Hoffmeister is holding courses and consultations in Design of Experiments (DoE), statistical modeling and programming (SAS, JMP, R) regularly.

Here, Analytics is about utilizing a combination of data, mathematics and statistical modeling, and business understanding to gain insights and drive action that delivers value to us and our customers.

To address the questions that matter most to our clients, the UBS Evidence Lab team applies the appropriate research methods from their toolkit of quantitative market research, digital footprint analysis, geospatial analysis, data science and statistical modeling.

Platforms like Partition, Cluster and Discriminant, when used in the spirit of uncovering relationships, are often highly successful in isolating the hot X's that can then be used for more definitive statistical modeling if this is meaningful and useful.

Platforms like Partition, Cluster and Discriminant, when used in the spirit of uncovering relationships, are often highly successful in isolating the hot X’s that can then be used for more definitive statistical modeling if this is meaningful and useful.

Modern technology such as GPS-GSM telemetry, isotope analyses, and statistical modeling help us to clarify and present complex issues.

Your statistical modeling approach can be informed by the usual diagnostics, including plots of autocorrelations and partial autocorrelations, variograms, AR coefficients and spectral density plots.

Linear regression is a statistical modeling technique used to describe a continuous response variable as a function of one or more predictor variables.

They need to combine artificial intelligence and machine learning with statistical modeling and optimization, simulation, classification, as well as rules and heuristics.

To achieve this, advanced techniques of machine learning and statistical modeling are applied, resulting in mechanically improved results from the data.