Traders that use computerized trading systems to analyze and trade markets using technical analysis do so by developing, testing, and optimizing statistical models based on the application of technical indicators to the price data of a security. This is typically done by looking at historical what is robustness or past price data, along with market indicators, and identifying situations that have high probabilities of success in the future. Business financial models focus mainly on the fundamentals of a corporation or business, such as revenues, costs, profits, and other financial ratios.

A hardware peripheral, hardware device, or software ability to withstand different situations without failing or crashing. The robustness of a product is usually determined with rigorous testing by the company manufacturing or developing the product. Robust programming is a style of programming that focuses on handling unexpected termination and unexpected actions.[7] It requires code to handle these terminations and actions gracefully by displaying accurate and unambiguous error messages. T-procedures function as robust statistics because they typically yield good performance per these models by factoring in the size of the sample into the basis for applying the procedure. Another commonly unforeseen circumstance is when war erupts between major countries.

Thesaurus Entries Near robustness

Many financial variables can be impacted due to war, which causes models that are not robust to function erratically. A robust model will continue to provide executives and managers with effective decision-making tools, and investors with accurate information on which to base their investment decisions. Peter Westfall is a distinguished professor of information systems and quantitative sciences at Texas Tech University.

• Currently, the model does not take into full consideration the increased health care needs for older patients or address the higher expense of delivering PHC services in rural areas.
• Instead, the developer will try to generalize such cases.[5] For example, imagine inputting some integer values.
• These examples are programmatically compiled from various online sources to illustrate current usage of the word ‘robust.’ Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors.
• This same principle may be taken to apply to software, but there are some challenges.
• Healthy, sound, wholesome, robust, hale, well mean enjoying or indicative of good health.
• Investors also use financial models to analyze and forecast the value of corporations to determine if they are viable prospective investments.

Many models are based upon ideal situations that do not exist when working with real-world data, and, as a result, the model may provide correct results even if the conditions are not met exactly. From the corporate executives of large multinational corporations to the franchise owner of the local burger restaurant, decision-makers need timely information presented to them in a model form that best reflects the activities of the business. Investors also use financial models to analyze and forecast the value of corporations to determine if they are viable prospective investments.

robust

In the world of investing, robust is a characteristic describing a model’s, test’s, or system’s ability to perform effectively while its variables or assumptions are altered. A robust concept will operate without failure and produce positive results under a variety of conditions. As an outcome of the discussion, participants reached a consensus on defining priorities for the upcoming years based on this study.

A trading model is considered robust if it is consistently profitable regardless of market direction. Very often, a trading model will function well in a specific market condition or time period. However, when market conditions change, or the model is applied to another time period or the future, the model fails horribly, and losses are realized. Robust statistics, therefore, are any statistics that yield good performance when data is drawn from a wide range of probability distributions that are largely unaffected by outliers or small departures from model assumptions in a given dataset. A new WHO/Europe report delves into the current state of primary health care (PHC) financing in Ukraine and presents 5 policy recommendations to enhance health outcomes, optimize public spending and increase value for money.

Meaning of robust in English

These examples are programmatically compiled from various online sources to illustrate current usage of the word ‘robust.’ Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. For an example of robustness, we will consider t-procedures, which include the confidence interval for a population mean with unknown population standard deviation as well as hypothesis tests about the population mean. One way to observe a commonly held robust statistical procedure, one needs to look no further than t-procedures, which use hypothesis tests to determine the most accurate statistical predictions. This new study received technical assistance from WHO under the Biennial Collaborative Agreement between the Government of Ukraine and the WHO Regional Office for Europe 2022–2023, as well as financial support from the Government of Canada.

Robust network design is the study of network design in the face of variable or uncertain demands.[10] In a sense, robustness in network design is broad just like robustness in software design because of the vast possibilities of changes or inputs. Programs and software are tools focused on a very specific task, and thus aren’t generalized and flexible.[4] However, observations in systems such as the internet or biological systems demonstrate adaptation to their environments. One of the ways biological systems adapt to environments is through the use of redundancy.[4] Many organs are redundant in humans.

The PHC budget and payment model should reflect provider costs to deliver the services defined in the PMG, as this limits the need for patients to pay for these services out of pocket. To ensure this, the NHSU, with the support of WHO, conducted a study on the cost of PHC services and developed a methodology for updating the per capita payments for providers. All content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only.

Humans generally only need one kidney, but having a second kidney allows room for failure. This same principle may be taken to apply to software, but there are some challenges. When applying the principle of redundancy to computer science, blindly adding code is not suggested. Blindly adding code introduces more errors, makes the system more complex, and renders it harder to understand.[6] Code that doesn’t provide any reinforcement to the already existing code is unwanted. The new code must instead possess equivalent functionality, so that if a function is broken, another providing the same function can replace it, using manual or automated software diversity.