Tak Mak, Concordia University

Research

Read how they describe their research on their Concordia University profile.

Analysis of misclassified data Interclass correlations Intraclass correlations in dichotomous data Off-line quality control Ranked data Regression analysis and survey sampling Statistics including errors-in-variables

Latest funding

Mean and variance function estimation and related problems
NSERC · 2003 · Principal investigator
$60,000
Computer infrastructure for web-based support systems and software agents, and data mining
NSERC · 2000 · Co-investigator
$22,808
Statistical issues in industrial and family data
NSERC · 1998 · Principal investigator
$86,735

All 5 grants and awards

No publications available.

Mean and variance function estimation and related problems

Principal investigatorNSERC2003Discovery Grants Program - Individual

Principal investigators: Mak, Tak

$60,000

Computer infrastructure for web-based support systems and software agents, and data mining

Co-investigatorNSERC2000Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Kersten, Gregory

$22,808

Statistical issues in industrial and family data

Principal investigatorNSERC1998Discovery Grants Program - Individual

Principal investigators: Mak, Tak

$86,735

Heteroscedastic models with applications

Principal investigatorNSERC1992Discovery Grants Program - Individual

Principal investigators: Mak, Tak

$99,000

Functional relationships and related models

Principal investigatorNSERC1989Discovery Grants Program - Individual

Principal investigators: Mak, Tak

$16,220

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

Write to this professor

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Applying for

Subject: Prospective PhD student: Analysis of misclassified data Dear Professor Mak, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on analysis of misclassified data connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]