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Applied Statistics involves the development of techniques or models and also involves the use of statistical methodology to solve applied problems both in the field of Statistics and various disciplines such as Economics, Environment, Agriculture, Biology, Medicine, Engineering and others.

Computational Statistics are computer intensive methods to solve existing statistical problems computationally.

The field of Applied Statistics and Computational Statistics comprises the following sub-fields:

1) Statistical Modeling and Forecasting

2) Computational Statistics and Inference

3) Reliability Analysis

A detailed description of these sub-fields is as follows:

1) The sub-field of Statistical Modeling and Forecasting encompasses Time Series Analysis, Forecasting, Spatial Modeling, Extreme Value Theory, Envirometrics, Regression Analysis and Design of Experiments. Time Series is a sequence of random variables observed over an indexed set. Time series research is centered on Generalized ARMA (GARMA) models. In spatial modeling, research is focused on FISSARMA and integer- valued spatial models. In extreme value theory, research is focused on spatial extreme and environmental models. Research in regression analysis is focused on diagnostics, robust and nonparametric techniques and logistic regression. Diagnostics, Generalized Linear Model for designed experiments with non-normal response and robust techniques in Design and Analysis of Experiments is also the current research area.

2) This sub-field of Computational Statistics and Inference comprises Robust Statistics, Influence Diagnostics, Bootstrapping, Bayesian Statistics, Monte Carlo Markov Chain (MCMC) and Statistical Data Mining. In robust statistics, the research is focused on robust regression, outlier detection, estimation of parameters in linear and non-linear models and quality control techniques. A robust bootstrapping technique is another focus area of research. Research interest in Bayesian statistics focuses on prior information, formulation and solution of simple and complicated decision theory problems. The MCMC research focuses on the MCMC algorithm for performing Bayesian inferences on complex stochastic models .In statistical data mining, the research is focused on developing new inferential techniques in data mining through the optimization technique, bagging and boosting.

3) The sub-field of Reliability Analysis consists of four areas of research, which are Survival Analysis, Medical Statistics, Biostatistics and Quality Control. Survival analysis is a branch of statistics dealing with death in biological organisms and failure in mechanical systems. More generally, survival analysis involves the modeling of time to event data. Medical statistics is the field of medicine dealing with applications of statistics to the field of health and medicine, such as public health, forensic medicine, as well as clinical sciences. Biostatistics is the application of statistics to a wide range of areas in biology that leads to a particular application to medicine and to agriculture. Research is focused on Relative Survival, Cure Fraction, Survival Tree and Bayesian Survival Analysis.

Hangi bölümdeyim?

Institute for Mathematical Research

Öğrenim seçenekleri

Full Time (Minimum of one year and a maximum of three years)

Okul ücreti
1st semester: RM 6,600; 2nd - 3rd semesters: RM 4,350; 4th semester: RM 3,850; 5th and subsequent semesters: RM 4,100; study cost for max 2 years: RM 19,150; study cost for max 3 years: RM 27,350
Başlangıç tarihi

Planlanan Şubat, Eylül 2022

Yer

Universiti Putra Malaysia

SERDANG,

Selangor,

43400, Malaysia

Giriş koşulları

Amerika gelen öğrenciler için

The applicant should possess a Bachelor’s degree (with honours) in a relevant field with a minimum CGPA of 3.000, or the applicant without sufficient academic qualification can be admitted into the programme subject to any other requirement specified by the Faculty/Institute. An applicant from a local public university who is in the final semester of his undergraduate study programme may be considered for provisional admission provided his current CGPA or its equivalent satisfies the graduate programme admission requirements. English Language Requirements: International English Language Testing Service (IELTS) Band 6.0; Test of English as Foreign Language (TOEFL), Paper Based - 550; 400 for Band 4.0 only for Malay language, Arabic, Chinese Literature, internet-based test (IBT)- 79-80.

Uluslararası öğrenciler için

Bachelor in the related field with CGPA of 3.00 OR

Bachelor who possess CGPA less than 3.00 but exceeds 2.5 CGPA should have three years of working experience in the related field.

For applicants with one of the following

550 for the TOEFL Paper-based Test (Academic Version); or

Band 6.0 for IELTS (Academic Training); or

79-80 for TOEFL Internet-based Test (Academic Version); or

Level 109 for CIEP at ELS Language Centre; or

Any English Language Test which is equivalent to B2 in Common European Framework of Reference for Languages (CEFR)

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