mathematics

Wiley Interdisciplinary Reviews: Computational Statistics

Wiley Interdisciplinary Reviews: Computational Statistics is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Wiley Interdisciplinary Reviews: Computational Statistics rather than just read about it. In short: Wiley Interdisciplinary Reviews: Computational Statistics (WIREs Comp Stats) is a review journal for computational and statistical techniques in the sciences, from the perspectives of both computation and statistics. It contain both tutorial reviews and advanced reviews, as well as opinion pieces and commentaries.

Key takeaways

Wiley Interdisciplinary Reviews: Computational Statistics belongs to mathematics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Wiley Interdisciplinary Reviews: Computational Statistics to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Wiley Interdisciplinary Reviews: Computational Statistics from memory before moving on to harder problems.

Reference excerpt

Wiley Interdisciplinary Reviews: Computational Statistics (WIREs Comp Stats) is a review journal for computational and statistical techniques in the sciences, from the perspectives of both computation and statistics. It contain both tutorial reviews and advanced reviews, as well as opinion pieces and commentaries. The journal was published by John Wiley & Sons both in print (ISSN 1939-5108) and online (ISSN 1939-0068) through 2011. Beginning in 2012, it is published online only. It was started in 2009.

Editors in chief The initial editors in chief were Edward J. Wegman and Yasmin H. Said of George Mason University, and David W. Scott, of Rice University. As of 2013, the current editors in chief are James E. Gentle, university professor of computational statistics at George Mason University, Karen Kafadar, Rudy Professor of Statistics at Indiana University and David W. Scott, Noah Harding Professor of Statistics at Rice University.

Indexing The journal is indexed in Compendex and Scopus.

References

External links Journal home page

Worked examples

Example 1 — a first encounter with Wiley Interdisciplinary Reviews: Computational Statistics

Start with the simplest possible case. Write down what Wiley Interdisciplinary Reviews: Computational Statistics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Wiley Interdisciplinary Reviews: Computational Statistics before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Wiley Interdisciplinary Reviews: Computational Statistics ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Wiley Interdisciplinary Reviews: Computational Statistics

In research: Wiley Interdisciplinary Reviews: Computational Statistics appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Wiley Interdisciplinary Reviews: Computational Statistics in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Wiley Interdisciplinary Reviews: Computational Statistics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational statistics journals, Review journals, Wiley-Blackwell academic journals, so understanding it makes those chapters shorter.
In everyday life: Look for Wiley Interdisciplinary Reviews: Computational Statistics outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Wiley Interdisciplinary Reviews: Computational Statistics in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Wiley Interdisciplinary Reviews: Computational Statistics means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Wiley Interdisciplinary Reviews: Computational Statistics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Wiley Interdisciplinary Reviews: Computational Statistics in simple terms?

Why does Wiley Interdisciplinary Reviews: Computational Statistics matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Wiley Interdisciplinary Reviews: Computational Statistics?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Wiley Interdisciplinary Reviews: Computational Statistics.