Age, Biography and Wiki

Shayle R. Searle was born on 26 April, 1928 in New Zealand, is a mathematician. Discover Shayle R. Searle's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 85 years old?

Popular As N/A
Occupation N/A
Age 85 years old
Zodiac Sign Taurus
Born 26 April, 1928
Birthday 26 April
Birthplace N/A
Date of death 18 February 2013
Died Place N/A
Nationality New Zealand

We recommend you to check the complete list of Famous People born on 26 April. He is a member of famous mathematician with the age 85 years old group.

Shayle R. Searle Height, Weight & Measurements

At 85 years old, Shayle R. Searle height not available right now. We will update Shayle R. Searle's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
Body Measurements Not Available
Eye Color Not Available
Hair Color Not Available

Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

Family
Parents Not Available
Wife Not Available
Sibling Not Available
Children Not Available

Shayle R. Searle Net Worth

His net worth has been growing significantly in 2022-2023. So, how much is Shayle R. Searle worth at the age of 85 years old? Shayle R. Searle’s income source is mostly from being a successful mathematician. He is from New Zealand. We have estimated Shayle R. Searle's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
Salary in 2023 Under Review
Net Worth in 2022 Pending
Salary in 2022 Under Review
House Not Available
Cars Not Available
Source of Income mathematician

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1928

Shayle Robert Searle PhD (26 April 1928 – 18 February 2013) was a New Zealand mathematician who was Professor Emeritus of Biological Statistics at Cornell University. He was a leader in the field of linear and mixed models in statistics, and published widely on the topics of linear models, mixed models, and variance component estimation.