Deborah A. Nolan | Academic Influence

Deborah A. Nolan's AcademicInfluence.com Rankings

Deborah A. Nolan

Mathematics

#7633

World Rank

#10353

Historical Rank

Statistics

#994

World Rank

#1091

Historical Rank

mathematics Degrees

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Mathematics

Deborah A. Nolan's Degrees

PhD Statistics Stanford University
Masters Statistics Stanford University
Bachelors Mathematics University of California, Berkeley

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Why Is Deborah A. Nolan Influential?

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According to Wikipedia, Deborah A. Nolan is an American statistician and statistics educator. She is a professor of statistics at the University of California, Berkeley, where she chairs the department of statistics. Education and career Nolan graduated from Vassar College in 1977; she gained her first experience in statistics in a summer job at Vassar, doing statistical analyses for author Caroline Bird. After graduating, she began working as an applications programmer for IBM. Needing to learn more statistics for her work, she studied at Columbia University for a year, and then entered full-time graduate study in statistics at Yale University. At Yale, the applied side of her research included work confirming the logarithmic spiral shape of snail shells. Her dissertation, supervised by David Pollard, concerned central limit theorems, and was titled U-Processes. She completed her Ph.D. in 1986, and became a faculty member at Berkeley in the same year, the first new female regular-rank faculty member in the department since Elizabeth Scott in 1951.

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Deborah A. Nolan's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

$U$-Processes: Rates of Convergence (1987) (429)
A cross-validatory method for dependent data (1994) (220)
Canonical kernels for density estimation (1988) (169)
Data Science in Statistics Curricula: Preparing Students to “Think with Data” (2014) (157)
Curriculum Guidelines for Undergraduate Programs in Data Science (2017) (149)
Computing in the Statistics Curricula (2010) (121)
Functional Limit Theorems for $U$-Processes (1988) (103)
Teaching statistics theory through applications (1999) (76)
Asymptotics for multivariate trimming (1992) (62)
The excess-mass ellipsoid (1991) (61)
Dynamic, Interactive Documents for Teaching Statistical Practice (2007) (53)
Teaching and Learning Data Visualization: Ideas and Assignments (2015) (45)
Keyhole Markup Language (2014) (43)
You Can Load a Die, But You Can't Bias a Coin (2002) (40)
A general Akaike-type criterion for model selection in robust regression (1995) (37)
XML and Web Technologies for Data Sciences with R (2013) (32)
On min{max majority and deepest points (1999) (31)
Teaching Statistics: A Bag of Tricks (2002) (28)
Stat Labs: Mathematical Statistics Through Applications (2001) (26)
DATA‐DEPENDENT ESTIMATION OF PREDICTION FUNCTIONS (1992) (24)
Uniform consistency of automatic and location-adaptive delta-sequence estimators (1989) (18)
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (2015) (18)
A Probability Model for Golf Putting (2002) (17)
An Introduction to XML (2014) (16)
Probability and Statistics: Essays in Honor of David A. Freedman (2008) (16)
Women in Statistics in Academe: Mentors Matter (1992) (15)
Approaches to Broadening the Statistics Curricula (2009) (14)
Interactive and Animated Scalable Vector Graphics and R Data Displays (2012) (12)
Student projects on statistical literacy and the media (1998) (12)
LIMIT THEOREMS FOR THE INFINITE-DEGREE U-PROCESS (2003) (11)
Make Research Data Public?---Not Always so Simple: A Dialogue for Statisticians and Science Editors (2010) (9)
Explorations in Statistics Research: An Approach to Expose Undergraduates to Authentic Data Analysis (2015) (9)
Location-adaptive density estimation and nearest-neighbor distance (1992) (7)
Case Studies in the Mathematical Statistics Course (2003) (6)
A Class Project in Survey Sampling (2002) (5)
JavaScript Object Notation (2014) (4)
Authentication for Web Services via OAuth (2014) (4)
Computing in the Mathematical Statistics Course (2001) (4)
Computing in the Statistics Curricula: A 10-Year Retrospective (2021) (4)
Women in mathematics : scaling the heights (1998) (3)
An Environment for Creating Interactive Statistical Documents (2001) (3)
Enhanced Dynamic Documents for Reproducible Research (2010) (3)
LEARNING FROM THE STATISTICIAN'S LAB NOTEBOOK (2010) (2)
Women in Mathematics: Scaling the Heights. MAA Notes Number 46. (1997) (2)
Modeling Runners’ Times in the Cherry Blossom Race (2015) (2)
REST -based Web Services (2014) (2)
Central Limit Theory (2005) (1)
The Promise of Portfolios: Training Modern Data Scientists (2021) (1)
Accessing SOAP Web Services (2014) (1)
Communicating with Data (1)
Parsing XML Content (2014) (1)
Communicating Through Statistical Graphs (1)
Exploring Data Science Jobs with Web Scraping and Text Mining (2015) (1)
Getting Started with XML and JSON (2014) (1)
ICOTS-7, 2006: Nolan and Temple Lang 1 DYNAMIC, INTERACTIVE DOCUMENTS FOR TEACHING STATISTICAL PRACTICE (2006) (1)
Scalable Vector Graphics (2014) (1)
Modes, caps and concentration: a geometric approach to estimation on the sphere (1997) (1)
How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies (2022) (1)
Reading Science Articles (0)
SimpleWeb Services and Remote Method Calls with XML-RPC (2014) (0)
| Data Science in R | Taylor & Francis Group (2015) (0)
Teacher's Corner Teaching Statistics (1999) (0)
Some Issues in Cross-Validation (1991) (0)
Strategies for Extracting Data from HTML and XML Content (2014) (0)
Describing Data (0)
Taking Care with Statistical Terms (0)
Readers' Comments to the New Researchers' Committee Report (1992) (0)
History and Teaching Statistics (2012) (0)
Crafting Words and Sentences (0)
KEYWORDS: Teaching; Golf; (2002) (0)
Strategies for Analyzing a 12-Gigabyte Data Set: Airline Flight Delays (2015) (0)
Teacher's Corner Teaching Statistics Theory Through Applications (1999) (0)
Functional Limit Theorems for Probability Forecasts (1992) (0)
Building a Portfolio (0)
EXCHANGING STATISTICS PEDAGOGY BETWEEN THE MASTER TEACHER AND THE FUTURE TEACHER (2014) (0)
Simulation Study of a Branching Process (2015) (0)
Using Statistics to Identify Spam (2015) (0)
Scraping Data from HTML Forms (2014) (0)
Comment (2009) (0)
Baseball: Exploring Data in a Relational Database (2015) (0)
Writing the First Draft (2021) (0)
Predicting Location via Indoor Positioning Systems (2015) (0)
New Ways to Think about Documents (2014) (0)
Multimedia Statistical Labs & Toolkit (TILE) (1999) (0)
XPath, XPointer, and XInclude (2014) (0)
Data and Web Technologies (2015) (0)
Data Manipulation and Modeling (2015) (0)
Communicating Through Code (2021) (0)
Meta-Programming with XML Schema (2014) (0)
Reading Materials Written for Broader Publics (0)
Statistics in the 21st Century. (2003) (0)
Reading to write (2020) (0)
Teacher's Corner Computing in the Statistics Curricula (2010) (0)

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Other Resources About Deborah A. Nolan

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What Schools Are Affiliated With Deborah A. Nolan?

Deborah A. Nolan is affiliated with the following schools: