| Kode | D20B.101 |
| Nama Mata Kuliah | Teori Statistika |
| SKS | 3 – 0 |
| Deskripsi | Matakuliah ini diawali dengan pendahuluan, lalu dilanjutkan dengan penaksiran dan sifat-sifatnya (umvue dan blue), metode kemungkinan maksimum, metode momen, metode bayes, taksiran interval, strategi perumusan hipotesis, uji statistik, kekeliruan tipe I dan tipe II, kuasa uji, derajat kepercayaan, uji paling kuasa seragam, uji likelihood ratio test, uji generalized likelihood ratio test, inferensi parameter populasi. |
| Referensi | Hogg & Craig. 1978. Introduction to Mathematical Statistics, Second Edition. London : Collier Macmilan Publishers Wackerly, D., Mendenhall, W., & Scheaffer, R.L., 2008. Mathematical Statistics With Applications, 7 th Ed, Cengage Learning, Inc. California. Casella, G & Berger, R.L. 2002. Statistical Inference, 2 nd Ed. Duxbury. Bickel, P.J. & Doksum, K.A. 1977. Mathematical Statistics. Holden-Day, Inc., California. Dudewicz, E.J. & Mishra, S.N. 1988. Modern mathematical Statistics. Wiley, New York |
| Kode | D20B.102 |
| Nama Mata Kuliah | Analisis Data Multivariat |
| SKS | 2 – 1 |
| Deskripsi | Pada awal kuliah membahas tentang pendahuluan analisis data multivariat, selanjtnya membahas peragaan grafik, normal multivariat, distribusi sampling multivariat, inferensi vektor mean populasi (manova), perbandingan beberapa vektor mean populasi (manova), analisis regresi multivariat, analisis diskriminan, analisis conjoint, korelasi kanonik, analisis komponen utama, analisis faktor, analisis kluster, analisis korespondensi, multidimensional scaling, penanganan data hilang (missing data). |
| Referensi | Sharma, S., 1996. Applied Multivariate Techniques, John Wiley & Sons, Inc. New York Johnson, R.A., & Winchern, D.W., 2007 Applied Multivariate Statistics, Pearson Education, Inc, New Jersey. Timm, N.H., 2002 Applied Multivariate Analysis, Springer, New York. |
| Kode | D20B.103 |
| Nama Mata Kuliah | Analisis Regresi |
| SKS | 2 – 1 |
| Deskripsi | Mata kuliah ini membahas tentang model hubungan statistik antara satu variabel dependen dengan beberapa variabel independen dengan mengedepankan filosophi pemodelan, aspek teoritis yang praktis. Hubungan statistik dalam persamaan garis bermanfaat dalam pemodelan satu fenomena dengan fenomena yang lain sehingga berdasarkan model hubungan yang dibangun dapat menjawab tiga tujuan utama dari pemodelan yaitu spesifikasi model, kontroling dan prediktif. Analisis regresi diawali dari pemodelan regresi linear sederhana sampai pada pengujian dan penanggulangan asumsi klasik. Pembahasan asumsi klasik mengadopsi studi terbaru seperti spatial dan temporal. |
| Referensi | Anselin, L., 1988. Spatial Econometrics: Methods and Models. Springer, California. Anselin, L., 2003. Spatial Econometrics. In B. H. Baltagi, A Companion to Theoretical Econometrics (pp. 310-330). Blackwell Publishing Ltd., Germany. Draper, D. R., & Smith, H., 1998. Applied Regression Analysis. John & Wiley, Canada. Faraway, J.J., 2005. Linear Models with R, Chapman & Hall/CRC, Boca Raton. Gordon, R. A., 2015. Regression Analysis for The Social Science. Taylor & Francis, New York. Kutner M., Nachtsheim C., Neter J., & Li W., 1996. Applied Linear Statistical Models, 5 th Ed, The McGraw-Hill Companies, Inc., New York. Yan, X., & Su, X.G., 2009, Linear Regression Analysis Theory and Computing, World Scientific Publishing, Singapore. |
| Kode | D20B.104 |
| Nama Mata Kuliah | Proses Stokastik |
| SKS | 3 – 0 |
| Deskripsi | Matakuliah ini membahas tentang markov chains (transition prob. matrices, first step analysis, functional of random, walk and success runs, the long run behavior), process poisson (the poisson process and the uniform distribution, compound poisson processes, non-stationary poisson processes), continuoustime markov chains (pure birth / pure death processes, birth and death processes, birth and death processes with absorbing states, finite state continuous time markov chains) renewal phenomena (definition and some examples of renewal processes, the poisson process viewed as a renewal processes). |
| Referensi | Karlin, S., Taylor, H.M., 1998, An Introduction to Stochastic Modeling, 3 rd Ed, Academic Press, New York. Ross, S., 1983, Stochastic Processes, 2 nd Ed, John Wiley& Sons, Inc., New York. |