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STATISTICAL INFERENCE AND BAYESIAN METHODS

Criteria of choice, and optimality consideration, in respect of point estimation, hypothesis tests and confidence intervals.  Likelihood methods with special consideration of maximum likelihood estimates (m.l.e.) and likelihood ratio tests including multiparameter problems (and linearisation methods).  Specific techniques will include:  Hypothesis Testing:

Pure significance tests, simulation tests, Neyman Pearson Lemma, UMP test.  Point Estimations: Efficiency, consistency, minimum variance bound estimators.  Determination of m.l.e’s including linearisation and asymptotic properties, maximum likelihood ratio tests and large-sample equivalents, asymptotic           optimality. Score tests.  Jackknifing, bootstrapping. Prior distributions: Representation of prior information via a prior distribution, substantial information, vague priors and ignorance, empirical Bayes ideas. Normal Models: Theory for  unknown), prior-posterior-predictive, normal regression model. Comparisons: Comparisons of classical, Bayesian, decision-theory approaches and conclusions via specific examples.

 

 

Course Code: 
STA 805
No. of Credits: 
3
Level: 
Level 800
Course Semester: 
First Semester
Pre-requisite: 
STA 402
Select Programme(s): 
Statistics

SAMPLING TECHNIQUES AND SURVEY METHODS

The necessity and practical use of sample surveys: sample versus census, presentation and organisation of a survey. Methods of sampling. Simple random samples: techniques, estimation, choice of sample size. Ratio and regression estimators. Stratified random sampling: criteria for good stratification before or after sampling. Quota sampling.  One-stage and two-stage cluster sampling. Systematic sampling. Comparison and choice of estimators. Estimation of treatment contrasts and their precision. 

Course Code: 
STA 804
No. of Credits: 
3
Level: 
Level 800
Course Semester: 
Second Semester
Pre-requisite: 
STA 302
Select Programme(s): 
Statistics

ADVANCED STATISTICAL METHODS

Exploratory Data Analysis: Data display, histograms, stem-and-leaf plots, box plots, data summary and   description. Elementary Methods: Single-and two-sample problems, standard normal-theory tests and estimators,       departures from assumptions, Poisson, Binomial and multinomial models, dispersion tests, goodness-of-fit, two-way contingency table. Regression Methods: Linear, multi-linear and polynomial regression, estimation of parameters, examination of residual, model checking.  Analysis of variance: One- and two-way analyses of variance. Examination of residuals. Unbalanced case.

Course Code: 
STA 803
No. of Credits: 
3
Level: 
Level 800
Course Semester: 
First Semester
Pre-requisite: 
STA 403
Select Programme(s): 
Statistics

PROBABILITY AND STOCHASTIC PROCESSES

Random point processes in time and space: Poisson process, inhomogeneous, compound and spatial generalizations. Review of transient and stability of random phenomena: the use of discrete time renewal theory, including the renewal theorem (without proof) with examples. Population models: discrete branching process, birth-and-death process, simple queuing models. Discrete time Markov chain: transition probabilities, classification of stages, equilibrium and absorption probabilities.

Course Code: 
STA 802
No. of Credits: 
3
Level: 
Level 800
Course Semester: 
Second Semester
Pre-requisite: 
STA 404
Select Programme(s): 
Statistics

DATA ANALYSIS

In this course the student will be cast in the role of a practicing statistician and become involved in projects within many fields of applications. Each of the selected projects has to be written in a report, some of which will be presented orally at seminars.  Some presentations may be done jointly with other students.  These are important aspects in the training of a practicing statistician, who must be able to present findings in a concise, but lucid manner, which can be, understood even by non-statisticians.  The reports are continuously assessed, each project being graded and returned quickly. Some of the projects are designed to illustrate basic statistical techniques from various courses and methods and to introduce the use of the statistical packages MINITAB, GLIM, PLUM, GENSTAT AND SPSS.  Others may be more open-ended or require more specialist techniques. The course opens with one or two non-assessed exercises designed to make the student familiar with the computing facilities. 

Course Code: 
STA 816
No. of Credits: 
3
Level: 
Level 800
Course Semester: 
Second Semester
Pre-requisite: 
STA 304 & STA 401
Select Programme(s): 
Statistics
16 Jul, 2020

        Vacancy: Postdoctoral Fellows – 3 Positions

The Centre for Coastal Management (CCM) at the University of Cape Coast (UCC) invites applications for a 2-year Postdoctoral Fellowship on the Africa Centre of Excellence in Coastal Resilience (ACECoR) Project in Ghana, from eligible and interested candidates.

About the Fellowship 

The ACECoR Postdoctoral Fellowships Program has been instituted to attract outstanding recent doctoral graduates to the University of Cape Coast from across the West and Central Africa sub-regions. The Program aims to recruit young researchers who have the potential to build and lead collaborative research activities across the thematic research areas and support research activities of the

Centre. The University of Cape Coast offers a conducive research environment with a well-resourced laboratory facility for coastal areas research.

Job/Research Area

It includes areas of research priority for the CCM’s ACECoR Project; CoastalGeomorphology and Engineering, Blue Economy, Climate Change Adaptation and Mitigation, Disaster Risk Management and Migration, and Ecosystems, and Biodiversity.

Location 

University of Cape Coast, Cape Coast, Ghana.

Eligibility/Qualification

 Suitable applicants must have completed their PhD studies within the past three years (from 2017). The postdoctoral fellow must have a background in one or a combination of the

following areas; Fisheries and/or Aquaculture, Integrated Coastal Zone Management (ICZM), Oceanography, Climate Science, Economics, Environmental Sciences, Sociology, and other fields related to

the research priority areas of ACECoR. Competencies in the use of spreadsheet, statistical analysis (quantitative and qualitative) and good knowledge and application of Geographic Information System (GIS)

and Remote Sensing (RS) are required and will give suitable candidates a competitive advantage.

Job/Position Description  

The Fellows will work within the scope of the priority/thematic areas of research at ACECoR and will be assigned the following responsibilities:

1. Conduct research required in the assigned thematic area to the highest standard and in accordance with all institutional and national regulations,

2. Liaise with research theme leads and staff of CCM to design and implement research instruments, protocols and other tools for laboratory and field data collection and analyses,

3. Coordinate the acquisition of ethical clearance for all research at the Centre and support the coordination of students’ research activities,

4. Contribute to the development of grant-winning research proposals for the Centre,

5. Support the datahub outfit of ACECoR in collating and managing data from students, and

6. Perform any other assignment as shall be assigned by the Director of CCM/ACECoR

Salary/Remuneration 

Benefits attached to this position are attractive.

How to apply

 All suitable applicants should submit their application to the Director, Centre for Coastal Management, University of Cape Coast on or before Friday, August 14, 2020. All applications should include

1) Application letter

2) Curriculum Vitae

 3) Letter of motivation

4) Two reference letters

 5) Five-page research proposal.

Send your application via email acecor@ucc.edu.gh under the subject ACECoR Postdoc Fellowship.    

Spencer Kwabena Boateng Mensah

Spencer Kwabena Boateng Mensah

UCC Law Graduate invited for Consultation on National Disability Law

The National Council on Persons with Disability has invited University of Cape Coast Faculty of Law graduate who doubles as Media General's broadcast journalist Spencer Kwabena Boateng Mensah, to a broad consultation on Persons with Disabilities Amendment Bill, 2020 & Persons with Disabilities Regulation 2020 (L.I).
    
The consultation forms part of a process to amend Persons with Disability Act, 2006 (Act 715) which article 29(8) of the 1992 Constitution of the Republic of Ghana mandated Parliament to pass.
    
Parliament passed the law 14 years after which it established the National Council on Persons with Disability to propose and evolve policies and strategies to enable persons with disabilities to enter and participate in the mainstream of the national development process. 

The implementation of the Act has had its own challenges and disability organisations, media houses, journalists, NGOs among others have shown commitment to advocate for full implementation of the Act. For example, sections 6 and 7 of the Act provide respectively that public places and public services are made accessible by persons with disabilities; but four years after the decade transitional period, these provisions have inadequately been implemented. 

The Persons with Disabilities Amendment Bill, 2020, and Persons with Disabilities Regulation, 2020 (L.I) were developed by the Technical Committee which was inaugurated in November 2019. In accordance with their terms of reference, the amendments were developed to comply with the United Nations Convention on the Rights of Persons with Disabilities; taking cognisance of the proposed amendments submitted by organisations of persons with disabilities - Ghana Federation of Disability Organisations, Ghana’s Legal System, the Sustainable Development Goals, the Leave No One Behind agenda and Ghana Beyond Aid.

The 'Dignified Media Perspective on Persons with Disability' consultation will discuss the Amendment Bill and the Regulation virtually with invited individuals from the media space including Media General's Spencer Kwabena Boateng Mensah who has distinguished himself as an advocate for disability coverage, inclusion, and empowerment.

Notable amongst his works is the 'Christian Morgan Project' in which he - with his NGO SpreadLove Home & Abroad - groomed and managed Christian Morgan, a teenager with visual impairment to emerge the second runner up on TV3 Talented Kids reality show in 2017. His attempts to influence the youth towards disability advocacy has taken him to several universities and basic schools around the country. His report from China on comparative disability law of China and Ghana is also insightful. 

The maiden season of his Star Ghana sponsored annual story 'Journey to the West' which catalogued the humiliation a wheelchair user goes through on a journey from UCC to the Western Region won him the 2018 Best Reporter (electronic) at the maiden Central Regional GJA Awards.

His commitment encouraged him to embark on a Bachelor of Law (LLB) programme which he has completed this year. Spencer holds a Masters of Arts in Communications Studies; Bachelor of Arts in Philosophy and Religion & Human Values, all from UCC and a Diploma in Journalism and Media Studies. 

Source: 3news.com
 

Alumni Spotlight

STATISTICS IN MEDICINE

Organisation and Planning: Protocol, patient selection, response. Justification of  method for randomisation: Uncontrolled trials, blind trials, Placebo’s, ethical issues. Survival function, hazard functions, cumulative hazard function, censoring. Kaplan-Meier survival curve, parametric models. Dynamics of isolated and interacting populations, cobwebbing. The basic laws of genetics. Mutation. Inherited defects in man.

Course Code: 
STA 412
No. of Credits: 
3
Level: 
Level 400
Course Semester: 
Second Semester
Pre-requisite: 
STA 303
Select Programme(s): 
Statistics

ACTUARIAL STATISTICS

Principles of General Insurance.  Theory of Interest and Decremental Rates.  Life Contingencies, Social Security and Pension Schemes.  Risk Analysis and associated statistical problems.  General Insurance Principles:  The Economics of Insurance.  The Risk elements.  General concepts and practices; Contingency, Risk, Exposure, Premium. Portfolio, Claims.  The Theory of Interest Rates:  Basic Compound interest Functions.  Equations of Value.  Effective Rates of Interest, and Force of Interest.  Annuities Certain.  Increasing and decreasing annuities Perpetuities.  Life Contingencies:  Single-Life Annuities and Assurances.  The determination of values and premiums.  Construction of Mortality, Sickness, Multiple decrement and similar tables from graduated data.  Determination and Use of probability and monetary Functions based on such tables.  Survival Probabilities and Expectation of Life.  Mortality:  Mortality Rates and other Indices.  Analysis of Experience Data.  Calculation of mortality and other decremental rates (including multiple decrement rates). Relevant Demographic Statistics:  Evaluation of demographic data and their application to actuarial work.  Population projections.  Demographic characteristics in Ghana.

Course Code: 
STA 410
No. of Credits: 
3
Level: 
Level 400
Course Semester: 
Second Semester
Pre-requisite: 
STA 301 & STA 303
Select Programme(s): 
Statistics

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