mathematics

James E. Gentle

James E. Gentle 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 James E. Gentle rather than just read about it. In short: James E. Gentle (born 1943) is an American statistician and author.

Key takeaways

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

Reference excerpt

James E. Gentle (born 1943) is an American statistician and author. He was a professor of statistics at George Mason University until his retirement in 2016. He is Co-Editor-in-Chief of Wiley Interdisciplinary Reviews: Computational Statistics and Senior Editor of Communications in Statistics. Gentle has written nine books, several book chapters and many research papers. His research is focused on statistical computing, simulation, robust statistics, survey sampling, and computational finance. He is a fellow of the American Association for the Advancement of Science and a fellow of the American Statistical Association. He is an elected member of the International Statistical Institute.

Early life Gentle was born in Statesville, North Carolina. He received a B.S in Mathematics from University of North Carolina in 1966 followed by an M.C.S in Computer Science in 1973 and a Ph.D. in Statistics in 1974 from Texas A&M University under the supervision of Herman Otto Hartley.

Career Right after completing his Ph.D, Gentle joined the Iowa State University as an assistant professor of statistics. He was given tenure as an associate professor in 1978. A year later, he left Iowa State University to join IMSL, Inc., as the director of research and design. In 1992, Gentle left IMSL and joined George Mason University as university professor of computational statistics. During his career at Iowa State and George Mason, Gentle supervised 22 PhD dissertations. In 1997, Gentle began a two-year leave from George Mason to serve as a program director in the Division of Mathematical Sciences of the National Science Foundation. He has been a visiting professor at Texas A&M University, University of Texas at Dallas, Rice University, University of Texas at Arlington, and Harbin Institute of Technology Shenzhen Graduate School. Throughout his career, Gentle has been active in the American Statistical Association, more specifically the Statistical Computing Section and the Statistical Graphics Section.

Books

As an author Statistical Computing (with W. J. Kennedy,1980) Numerical Linear Algebra with Applications in Statistics (1998) Elements of Computational Statistics (2002) Random Number Generation and Monte Carlo Methods (2003) Computational Statistics (2009) Statistical Analysis of Financial Data (2020) Gentle Cooking (2023) Buen Provecho. Favorite Recipes from South of the Border --- and Beyond (2023) Matrix Algebra. Theory, Computations, and Applications in Statistics (2024)

As an editor Computer Science and Statistics: Proceedings of the Fifteenth Symposium on the Interface (1983) Handbook of Computational Finance (2012) Handbook of Computational Statistics (2012)

External links James Eddie Gentle at the Mathematics Genealogy Project James Gentle's home page at George Mason University

References

Worked examples

Example 1 — a first encounter with James E. Gentle

Start with the simplest possible case. Write down what James E. Gentle 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 James E. Gentle 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 James E. Gentle 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 James E. Gentle

In research: James E. Gentle 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 James E. Gentle 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: James E. Gentle is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1943 births, American academic journal editors, Elected Members of the International Statistical Institute, so understanding it makes those chapters shorter.
In everyday life: Look for James E. Gentle 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 James E. Gentle in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what James E. Gentle 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 James E. Gentle out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is James E. Gentle in simple terms?

James E. Gentle (born 1943) is an American statistician and author.

Why does James E. Gentle 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 James E. Gentle?

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 James E. Gentle.