What Is Robustness in Statistics?

Although this strategy has been an effective way to advance knowledge, it provides somewhat less robust evidence than a single comprehensive test of a model. If the structuralists are correct, then we would expect to see high degrees of significance and robust negative coefficients on this measure. Accounts of taking charge and assertions of robust identities tended to dominate the early interviews.

definition of robustness

Pets enhance the pleasure and mental robustness of the elderly. Healthy implies full strength and vigor as well as freedom from signs of disease. A computer systemOn the other hand, it can boast of its robustness if it can execute several processes simultaneously without generating crashes or crashing .

Specifically, sound emphasizes the absence of disease, weakness, or malfunction. The meanings of healthy and robust largely overlap; however, healthy implies full strength and vigor as well as freedom from signs of disease. If the sample size is less than 15, then we can use t- procedures for data that have no outliers, a single peak, and are nearly symmetric. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. The robustness of the phylogenetic analyses was assessed by trying various tree-building methods and several different evolutionary models.

How to use robustness in a sentence

This makes them robust media for long-term storage of content. Despite challenges presented by the data, our findings appear robust and are consistent with a series of “natural experiments” from around the world. Even as human beings have grown in numbers and wealth, becoming healthier and more robust, other species have suffered. Leave out the women, and you don’t have a full and robust economy. We should be able to generate stronger sales with robust profit margins. You will need a strong cardboard box to carry all those books.

Robust is from Latin robustus “of oak, hard, strong,” from robur “oak tree, strength.” DisclaimerAll content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only. This information should not be considered complete, up to date, and is not intended to be used in place of a visit, consultation, or advice of a legal, medical, or any other professional. Close your vocabulary gaps with personalized learning that focuses on teaching the words you need to know. If the sample size is between 15 and 40, then we can use t-procedures for any shaped distribution, unless there are outliers or a high degree of skewness.

definition of robustness

One of the main reasons why there is no focus on robustness today is because it is hard to do in a general way. As can be seen from these examples, robustness does not always refer to the material. Regardless, complex systems should still handle any errors encountered gracefully. Some of the most robust systems are evolvable and can be easily adapted to new situations.

— robustness

If the samples size is large, meaning that we have 40 or more observations, then t-procedures can be used even with distributions that are skewed. 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. Robust programming is a style of programming that focuses on handling unexpected termination and unexpected actions. It requires code to handle these terminations and actions gracefully by displaying accurate and unambiguous error messages. These error messages allow the user to more easily debug the program.

definition of robustness

It is based on the perceived strength and robustness of our economy. This is unhealthy for the political robustness of the alliance and unfairly apportions the burden for the common defense. Add robustness to one of your lists below, or create a new one. Complex performance extends the analysis from individual environmental problems to larger issues of sustainability, fairness, efficiency, and robustness. By examining children who come to the task of language development facing environmental risks, the robustness of these sequences becomes evident. Sensitivity analysis was undertaken to assess the robustness of the model estimates to changes in key variables.

We look at reliability, robustness, and performance as features of the design. So the authors tried several different analysis techniques to test the robustness of the observed trend. So the holy grail really is how to build in some robustness to the beer such that that doesn’t happen. However, the difficulties in a theoretical explanation of robustness within the linguistic modelling suggested the adoption of an empirical notion. Get ready with Test&Train , the online practice tool from Cambridge. Build your confidence with hundreds of exam questions with hints, tips and instant feedback.

Vocabulary lists containing robust

Systems generally may also fail due to other reasons as well, such as disconnecting from a network. 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. In other words, a robust statistic is resistant to errors in the results. In statistics, the term robust or robustness refers to the strength of a statistical model, tests, and procedures according to the specific conditions of the statistical analysis a study hopes to achieve. Given that these conditions of a study are met, the models can be verified to be true through the use of mathematical proofs. Currently, computer science practices do not focus on building robust systems.

In computer science, robustness is the ability of a computer system to cope with errors during execution and cope with erroneous input. Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to showing robustness since this type of testing involves invalid or unexpected inputs. Alternatively, fault injection can be used to test robustness.

Various commercial products perform robustness testing of software analysis. Programs and software are tools focused on a very specific task, and thus aren’t generalized and flexible. 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. Humans generally only need one kidney, but having a second kidney allows room for failure.

  • When applying the principle of redundancy to computer science, blindly adding code is not suggested.
  • Materials were chosen for their robustness and ease of maintenance.
  • The “robustness of coherence” of the input probe quantifies the quantum advantage.
  • In other words, a robust statistic is resistant to errors in the results.
  • If he Program it hangs when loading the first image, it is a not very robust application.

Sensitivity analyses were undertaken to test the robustness of the results. The robustness of the estimates was considered in this context. The table results are very reassuring for the robustness of the main results. The effectiveness and robustness characteristics of our proposed method were verified successfully in both simulations and experiments. The robustness of the furniture makes it suitable for a playroom.


From the point of view of building learning abilities into artificial agents, simple mechanisms have obvious advantages in terms of robustness and design cost. Robustness can refer to physical or symbolic characteristics. A construction that has been standing for several centuries shows its robustness by having withstood the passage of weather. This may be possible due to the quality of the materials and the ability of builders. On the other hand, if a construction begins to have structural failures five years after its birth, no one could highlight its robustness, since it is a weak and fragile building. Some common synonyms of robust are hale, healthy, sound, well, and wholesome.

definition of robustness

For a machine learning algorithm to be considered robust, either the testing error has to be consistent with the training error, or the performance is stable after adding some noise to the dataset. Recently, consistently with their rise in popularity, there has been an increasing interest in the robustness of neural networks. This is particularly due their vulnerability to adverserial attacks. In general, building robust systems that encompass every point of possible failure is difficult because of the vast quantity of possible inputs and input combinations.

Since all inputs and input combinations would require too much time to test, developers cannot run through all cases exhaustively. Some selected inputs might consist of a negative number, zero, and a positive number. When using these numbers to test software in this way, the developer generalizes the set of all reals into three numbers. This is a more efficient and manageable method, but more prone to failure. Generalizing test cases is an example of just one technique to deal with failure—specifically, failure due to invalid user input.

An example of a robust system is one for the creation of 3D graphics that makes it possible to work with very heavy images without problems. If he Program it hangs when loading the first image, it is a not very robust application. In some situations, the words well and robust are roughly equivalent.

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.

The weekend programming schedule is robust, with DJs on the Skylawn every Friday through Sunday. Sound emphasizes the absence of disease, weakness, or malfunction. Likewise, it should be noted that robustness is also one of the most important qualities established in the third generation of the Pokemon video game. It is an ability that not only allows the character to continue living but also to deal with the fulminating blows that his rivals try to land on him.

His mental robustness helped him to cope in the aftermath of the trial. However, in the latter case grammatical analysis of the type proposed here is useful in providing a robust analysis of the best path. Another, potentially bigger benefit is that the inference can make program code robust against changes of types. Whether you’re a teacher or a learner, Vocabulary.com can put you or your class on the path to systematic vocabulary improvement.

Robustness in Statistics

Although the words hale and robust have much in common, hale applies particularly to robustness in old age. If your school has a robust sports program, it means they offer lots of different kinds of sports and that a lot of kids participate. If you have a robust speaking voice, it means you have a voice that’s deep and loud and strong.

The population that we have sampled from is normally distributed. This is one of the most robust findings in social science, and http://domles43.ru/stroitelstvo-doma-v-podmoskove.html also one of the most ignored. In older people, the difference in memory changes won’t be as robust as they are in younger people.

While all these words mean “enjoying or indicative of good health,” robust implies the opposite of all that is delicate or sickly. Robust network design is the study of network design in the face of variable or uncertain demands. In a sense, robustness in network design is broad just like robustness in software design because of the vast possibilities of changes or inputs. The word in the example sentence does not match the entry word. The words sound and robust are synonyms, but do differ in nuance.

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