• Served as an co-supervisor for the M. Phil thesis in Statistics

I graduated from Brandeis University with a B.S. in Molecular Biology, received a M.A. in Statistics from Columbia University and most recently, defended my Ph.D. thesis in Statistics from Rice University in August, 2009. My Ph.D. dissertation was entitled “Parameter Estimation in Mathematical Models of Lung Cancer” and my thesis advisor was Professor Marek Kimmel.

Top 25 Thesis In Statistics profiles | LinkedIn

Yumin Xiao and Heng Wang (2010): . C-level Thesis in Statistics, Dalarna University.

Statistics Thesis PhD in Statistics Prerequisites

There is a shelf in the Statistics Library (in SC 300F) which contains a lot of past senior theses in Statistics. I would recommend spending a couple hours browsing through those, to get a sense of the style and scope and kinds of topics. It may also be worth reading 1 or 2 that you find especially interesting in depth.

Top 9 Bachelor Thesis In Statistics profiles | LinkedIn

The analysis reports presented include details of prerequisite tests and the significance tests carried out to decide on the hypothesis. In fact, we go a step further and explain the steps involved in statistical analysis so that you as a client remain confident in front of your dissertation committee. Whether you are looking for multivariate data analysis or structured equation modeling, we offer the right blend of solutions to complete the data analysis chapter.

Bei Dong, Ling Zhang and Xuan Lu (2008): . C-level Thesis in Statistics, Dalarna University.
Awarded the 2014 Cramér prize for best PhD thesis in Statistics and Mathematical Statistics.

table of contents Phd thesis proposal in statistics uncategorized

In recognition of an outstanding graduation performance, the Jan Hemelrijk Award (formerly known as Vvs+OR Master's Thesis Award) is bestowed each year to a master's thesis in statistics or operations research. The prize consists of a certificate and €1000,-.

STA-3900 Master thesis in statistics - Munin

Master Thesis in Statistics - Umeå University, Sweden

Completion of the PhD degree requires at least forty-five (45) semester hours of graduate coursework. To meet this requirement, students typically take fifteen three-credit courses. The course requirements for the PhD are divided into five basic areas:

1. A Series.
These are the six basic first-year courses. They are divided into three sequences of two courses. The first course in each sequence is taken in the Fall, the second in the Spring.

Applied statistics: STOR 664 and 665
Theoretical statistics: STOR 654 and 655
Probability: STOR 634 and 635

PhD students must pass each of the six A series courses and successfully complete the Comprehensive Written Exams on these subjects.

2. B Series.
There are 11 courses in the B series, divided into two groups. The first group includes basic courses on stochastic modeling and optimization. The second group includes intermediate level courses in different areas of statistics. PhD students must take and pass at least one course from the first group, and at least two from the second.

Group 1: Stochastic Modeling and Optimization (One or more courses required)

STOR 612 Models in Operations Research
STOR 641 Stochastic Models in Operations Research I
STOR 614 Linear Programming
STOR 642 Stochastic Models in Operations Research II
STOR 762 Discrete Event Simulation

Group 2: Intermediate Statistics (Two or more courses required)

STOR 754 Time series and multivariate analysis
STOR 755 Estimation and hypothesis testing
STOR 756 Design and robustness
STOR 757 Bayesian statistics and generalized linear models
STOR 765 Consulting
STOR 831 Advanced Probability

C series. The C series comprises all graduate level Statistics Program courses that are not included in the A or B Series (excluding STOR 992 and 994):

STOR 851, 852, 853, 854, 855, 832, 833, 834, 835, 836, 856, 857, 890, 891, 930, 940, 950, and 960.

PhD students must take and pass at least three C Series courses.

4. Courses Outside Statistics.
PhD students may count up to nine credit hours of coursework outside the Statistics program towards the forty-five credit hours required for the doctoral degree. Outside coursework can come from other fields including Biostatistics, Operations Research, Mathematics, Computer Science and Economics. Coursework outside statistics needs to be approved by the Graduate Curriculum Committee in order to count towards the PhD degree.

5. Thesis Research Course.
All PhD students must take six or more credits of STOR 994, PhD Thesis Research, and must be registered for STOR 994 during the semester that they take their Final Oral Exam. Credits for STOR 994 do not count towards the forty-five credit total needed for the PhD degree.

Thesis in Statistics 2007 - edoc

in Mathematics (with a thesis in Statistics) from the

The at IDA starts the research seminar series . Machine Learning is a field of study at the intersection of Statistics, Artificial Intelligence and Computer Science. The first seminar, on September 17 in Visionen, is given by on the topic of 'Sequential Decision Making: Experiment Design, Big Data and Reinforcement Learning'. Welcome!