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STATISTICIAN /APPLIED ECONOMICS EXPERT. FOR YR MASTERS AND PHD THESIS. TUKS PHD FINALIS. IN 5 DAYS
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1 year ago222 views
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In my part time I analyse, interpret and write up chapter 4/5 thesis, in 3-5 days. I am an experienced STATISTICIAN/RESEARCHER and PHD Finalist (University of Pretoria), with 15 plus years’ experience in quantitative analysis. My experience is specifically on cross sectional and longitudinal research (econometric models and survival models) processes. I have also supervised Masters thesis. My profiles online for more
https://www.linkedin.com/in/christopher-manyamba-04490713/
http://oasis.col.org/handle/11599/3934?show=full
https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-index
https://researchspace.ukzn.ac.za/handle/10413/8822
1. Proposal development: Intro, Literature review, Methodology (study design, approach, sampling, reliability, ethical issues)
2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;
3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;
4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);
5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);
6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;
7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results
8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;
9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);
10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;
11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). If you need to self-tutor STATA, you can get a STATA version 15-30-day trial
Whattsapp 0732177216
Id Subtitle 1126753751
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Chris Manyamba
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High School Tutoring (Mathematics, Physics and Physical Science)
Matric Exam
Preparation, IEB; NSC :(Grd8, 9,10,12), Cambridge (IGCSE, AS and A-level)
FET Subjects (College):
·
Mechanotechnique: N6, N5, N4
·
Engineering Science: N4, N3, N2, N1
·
Power Machine: N6, N5
·
Math: From N6, N5, N4, N3, N2, N1
·
Strength of Material: N6, N5
·
Fluid Mechanics: From N6, N5
Tutoring Assistance with
Mechanical Engineering Degree and Diploma Subjects
Tertiary Level (CPUT, UJ, UP, STRLLENBOSCH, WITS, UCT,
UNISA, etc.):
·
Applied Mechanics: EME 1501; MEM1015, EME2602; etc.
·
Thermodynamics: (THT3701; TDY2601 etc.
·
Fluid Mechanics: FLM400S FLM200S; MEC2022S, MEC3033FLS
FLM300S, MFL1601, FMM3701 MEC3033FLS, etc.
·
Eng. Drawing or Technical
Drawing
·
Strength of
material/Mechanic of Solids: SME3701; MEC2025F;
224; 143; MEC3023F; STL301S, STL201S, W244, 400S; etc.
·
Finite Element Analysis: STA400; FEA 3701; etc.
·
Math: MAT1512; MAT109; MAT208S; MAT303S; MAT2691; MAT3700; MAT1503;
MA1613; MAT1581; etc.
·
Machine Design
Contact info:
email: sharpzmind@gmail.com or Call; WhatsApp; SMS: 0746399746
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