Private tutor in Norfolk, VA
http://www.juntak.org/ Email: email@example.com Advanced-level Tutor on STATISTICS, FINANCE, ECONOMICS, MATHEMATICS, ACCOUNTING, NURSING, BIOSTATISTICS, and BIOINFORMATICS. 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 and Writing, and Accounting & Financial Accounting. Research, Research Methodology, and Research Publications. 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. Statistics is not a scary subject as long as you find the right tutor. I would be happy to assist you in understanding and gaining a command of research methods and statistics. My Complete Statistics/Finance Tutoring Info are posted on: http://www.juntak.org/ Please send to email-address listed on above URL link for additional information. My direct email-address is listed on the www.juntak.org URL link. We can communicate via telephone, email, and video-conference via SKYPE. Statistics is considered a "universal language" utilized in every field of study (Business, Management, Economics, Information Technology, Science, Engineering, Social Sciences, Mathematics, Education, Sociology, Religion, Psychology, Operations, Health Administration, Public Administration, and many other fields of study). The main difference lies in the use of Statistics in the interpretation of Statistics Outputs that you obtained via various statistical software. I can help you on your research work, and interpret what your statistical outputs mean, and how to obtain them. Depending upon where you are in your research, I can handle all of the statistical considerations for your dissertation methods or results chapter. • I use the latest version of SPSS software and SAS to perform the statistical analyses for you. • I can perform virtually any conventional statistical analysis that may be needed. • I offer on-going telephone and email support to ensure that you understand all of the statistical methods and tests used in your dissertation/thesis/project. • Assist in the statistical analysis for candidates working on their thesis and dissertation projects. • Train individuals and companies in many different software packages, including SAS, SPSS, Minitab, Microsoft Excel, and Eview Econometrics Software. • Perform statistical analysis and consulting for clients in the Market Research, Legal and Healthcare fields. • Tutor undergraduate and graduate students in the field of math and statistics. Some of the more common statistical methods that I use are listed below: QM / PQM T-Test Paired T-test Chi-Square Test ANOVA ANCOVA MANOVA Repeated Measures ANOVA Factor Analysis Cluster Analysis Linear Regression Logistic Regression Correlation Mann-Whitney Test Kruskal-Wallis Test Wilcoxon Signed-Ranks Test McNemar's Test Friedman's Test Non-Parametric Tests Survival Analysis Econometrics Time-Series Forecasting Linear Programming Tutor for Math, Finance, Economics, SPSS, Statistics, and Strategic Management (Undergraduate, Masters, and PhD levels). I specialize in serving university-level clients who are adults, students, professionals, and military. Furthermore, I am very comfortable with traditional and non-traditional individuals with different backgrounds. 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. 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, SAS, Minitab, Microsoft Excel, R, eViews. * BioStatitics * BioInformatics * Statistics for Nursing in Medical Fields. 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: Chebyshev'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 Please visit www.juntak.org for information. I can only tutor in the Hampton Roads area: * Norfolk, * Virginia Beach, * Portsmouth, * Chesapeake, * Newport News, * Hampton, * Suffolk. www.juntak.org
Any day at any time
Up to 45 minutes away for a flat fee
EMAIL: firstname.lastname@example.org PHONE (Hampton Roads, VA): 757-726-7004 WEBSITE: http://www.juntak.org/
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