Experience Summary
juntak5@yahoo.com -- You MUST EMAIL for immediate response.
(I repeat: Send DIRECT EMAIL to juntak5@yahoo.com )
Tutor for Math, Finance, Economics, and
Statistics (Undergraduate, Masters, and
PhD levels).
I specialize in serving university-level tutorees/clients
who are adults, students, professionals, and military.
Furthermore, I am very comfortable with traditional and
non-traditional individuals with different backgrounds.
I am an advanced Statistics/Finance Tutor capable of tutoring
you University Graduate-level and Undergraduate-level
Statistics/Finance class that you are currently taking. I can also
provide Research Consulting Services on your Projects, Assignments,
Thesis, Dissertation, and any business/class Research Publication(s).
I am also very comfortable in conducting Strategic Management
Consulting services on Corporations and/or business needs.
Also in Asset & Portfolio Management, Capital Investments,
International Business & Marketing, Business Communication & Writing,
and Accounting & Financial Accounting.
Teaching Style
Email: juntak5@yahoo.com -- I have been teaching and/or tutoring statistics-related and research
methods at undergraduate and graduate levels for many
fields-of-study, especially Economics/Finance, Nursing,
Sociology, Psychology, Education, and social sciences majors
for several years. In addition, I help students with
designing and writing analysis and method sections of
their undergraduate and graduate level thesis/dissertation
and editing their research/term papers.
I use Microsoft Excel and SPPS for statistical analysis and have
basic knowledge of eViews, Stata, SAS, and Minitab.
However, SPSS is my strongest strength and most familiar with.
I will also be very helpful, and useful to students
who are currently writing-up their Master's
Thesis, or PhD dissertation on their Graduate
studies in School. I can be your proof-reader,
and help you write some portions of your
quantitative-research.
My Hobbies
Email: juntak5@yahoo.com
(please email directly for immediate response. I rarely check Tutor Select)
Other Comments
Finance (Undergraduate, and Graduate Level):
* Corporate Finance,
* International Finance,
* Business Finance, and others.
Statistics (Undergrad and Grad Level):
* Business Statistics,
* Bio-Statistics,
* General/Intermediate/Advanced Statistics, and others.
* Statistical Softwares: SPSS, Minitab, Microsoft Excel, eViews, SAS.
Economics (Undergrad and Grad Level):
* Micro/Macro Economics,
* Managerial Economics,
* Engineering Economics for Engineers,
* Engineering Mathematical Economics,
* Econometrics I, II, and III, and others.
Data analysis
Graphical analysis: time series plots and histograms
Descriptive statistics: moments, quantiles and frequency tables
Central tendency measures: sample mean, median and mode
Dispersion measures: sample variance, standard deviation and range
Association measures: linear and rank correlation
Sampling issues: Chebishev's theorem
Probability theory
Overview of set theory: sample space and events
Relative frequency and event likelihood
Conditional probability: Bayes rule and independence
Random variables: discrete and continuous distributions
Statistical inference
Inference: sample × population moments
Estimation: maximum likelihood × method of moments
Asymptotic results: law of large numbers and central limit theorem
Hypothesis testing and confidence intervals
The standard linear regression model
Estimation: Assumptions and the geometry of least squares
Inference: Tests of hypothesis
Asymptotic properties: Assumptions, consistency and normality
Gauss-Newton regression: Residual analyses
Maximum likelihood: Estimation and testing
Extensions to the standard linear regression model
Estimation and inference under heteroskedasticity: Generalized least squares
Estimation and inference under autocorrelation: Introduction to dynamic models
Endogeneity and mensurement errors: Instrumental variables
Advanced topics (if there is enough time)
Nonlinear least squares
Binomial response models: Probit and Logit
Simulation-based methods: Monte Carlo and bootstrap
Fundamental concepts of statistical inference
Statistical model, decision space and loss function
Optimal decision rules: pure and randomized
Statistical principles: equivariance, invariance and unbiasedness
Sufficient statistics
Dominated family: Radon-Nikodyn theorem and Halmos-Savage lemma
Conditional expectation and probability: Halmos-Savage theorem and properties
Neyman-Pearson factorization criterion
Minimal sufficient statistics
Exponential model
Privileged statistic and minimal sufficiency
Random sampling of exponential models
Moments of privileged statistics
Distribution free and complete statistics
Ancillarity principle, complete and disconnected statistics
Basu's theorem and Fisher's lemma
Point estimation
Rao-Blackwell theorem and Lehmann-Scheffé theorem: UMRU estimators
Invariance and the principle of equivariance: UMRE estimators
Invariants e maximal invariants: Pitman estimators
Hypothesis testing
Neyman's principle: UMP tests and the Neyman-Pearson theorem
Least favorable distribution, (L)UMPU tests and nuisance parameters
References
Email to me at above email-address, and I will provide
my complete information and background information.
I can only tutor in the Hampton Roads area:
* Norfolk,
* Virginia Beach,
* Portsmouth,
* Chesapeake,
* Newport News,
* Hampton,
* Suffolk.