Brief Description of the Major Field
The MS in Statistics program is designed to provide the graduate student with a more extensive training in research and teaching through a well-balanced mixture of theory and applied courses.
Graduates of BS in Statistics or its equivalent from an accredited university/college; those who have interest to pursue advanced degree in Statistics; those who are working in line with statistics and even those who are "heavy" users of statistics are prospective students of this program.
Statistics has applications almost in all areas of study and with this program, a user of statistics can better appreciate the application of statistics in a given area of study. With a program that is well-balanced mixture of theory and applied courses, it is expected that the graduates of the program can very well apply statistics in other fields of interest with more confidence and understanding.
Requirements and Mechanics to Graduate
The MS STAT program requires a minimum of 31 units, these are 15 units of major courses, 9 units of minor courses, 1 unit of seminar (STAT 299) and 6 units of thesis (STAT 300). The major courses are composed of core courses STAT 241, STAT 242 and other 200 level courses in statistics to satisfy the minimum number of units.
STAT 235. Mathematics in Statistics (3). Matrices; transformations; infinite series; inequalities; generating functions; special functions. 3 hrs (class). PR. MATH 28 or MATH 38. (1)
STAT 241. Statistical Theory I (3). Probability, random variables, probability distributions; expectations, moments, and characteristic functions; distributions of functions of random variables; sampling distributions. 3 hrs (class). PR. STAT 142 or COI. (1)
STAT 242. Statistical Theory II (3). Parametric point and interval estimation; theory of hypothesis testing; introduction to linear models. 3 hrs (class). PR. STAT 241. (2)
STAT 250. Multivariate Statistical Methods (3). Multivariate normal populations; tests of hypotheses on means, multivariate analysis of variance; classification by linear discriminant function; inferences from covariance matrices; principal components; and factor analysis. 3 hrs (class). PR. STAT 162 and MATH 120 or COI. (1,2)
STAT 251. Linear Models I (3). Multidimensional normal distribution; distributions of quadratic forms; full rank models; estimation and tests of hypotheses. 3 hrs (class). PR.
STAT 142 and STAT 235 or COI. (1)
STAT 252. Linear Models II (3). Linear models not of full rank; experimental design models and components of variance models; distributional properties of point estimators; test of hypotheses. 3 hrs (class). PR. STAT 251.
STAT 263. Sampling and Sample Surveys (3). Simple random, stratified, systematic, multistage and multiphase sampling; ratio and regression estimation; sampling with varying probabilities. 3 hrs (class). PR. STAT 141 or COI.
STAT 264. Statistics for Epidemiology (3). Statistical methods in the collection, organization and analysis of epidemiologic data and subsequent interpretation. 5 hrs (2 class, 3 lab). PR. STAT 1 or COI (1).
STAT 266. Time Series Analysis I (3). Stationary stochastic processes; covariance and autocorrelation functions; autoregressive and moving average processes. 3 hrs (class). PR. COI. (1,2)
STAT 290. Special Problems (1-3). May be taken twice provided that the total number of units to be credited to the student’s program will not exceed 4 units.
STAT 291. Special Topics (1-3). May be taken twice provided that the total number of units to be credited to the student’s program will not exceed 4 units. PR. COI.
STAT 299. Graduate Seminar (1). May be taken twice.
STAT 300. Master’s Thesis (6). (1,2,S)
STAT 341. Theory of Probability (3). Measure-theoretic probability; characteristic functions; generalized and compound distributions; limit theorems; stochastic processes. 3 hrs (class). PR. STAT 242 or COI.
STAT 342. Statistical Inference (3). Statistical inference and statistical decision theory; sufficiency; most powerful tests; unbiasedness; invariance. 3 hrs (class). PR. STAT 341 or COI. (2)
STAT 363. Sampling Theory of Surveys (3). Stratified multistage sampling; sampling on successive occasions; problems and approaches in the development of multistage surveys. 3 hrs (class). PR. STAT 263 or COI.
STAT 399. PhD Graduate Seminar (1).
STAT 400. Doctoral Dissertation (12).
|Felino P. Lansigan||
Agricultural and Environmental
|Ph.D. C.E.||5362381||[email protected]|
|Zita V. Albacea||
|PhD in Statistics||
|Consorcia E. Reafjo||Biometrics||PhD in Statistics||
Isidro P. David
|Survey Sampling||PhD in Statistics||
Key Person/s: Director of INSTAT
Phone Number/s: 63(049)5362381; 63(049)5360818
Email Address/es: [email protected]