Primijenjena statistika
  • Priručnik primijenjene statistike u R-u
  • Predgovor
  • 1. Uvod u R
    • 1.1. R objekti
    • 1.2. Manipulacije i agregacije podataka
    • 1.3. Import i eksport podataka
    • 1.4. Korisničke funkcije
  • 2. Tipovi i nivoi mjerenja statističkih obilježja
  • 3. Deskriptivna statistika i grafičko predstavljanje podataka
    • 3.1. Mjere centralne tendencije
    • 3.2. Mjere varijabiliteta
    • 3.3. Mjere oblika rasporeda
    • 3.4. Grafičko predstavljanje podataka
  • 4. Distribucije vjerovatnoća slučajne promjenljive
    • 4.1. Binomni raspored
    • 4.2. Normalni raspored
    • 4.3. Studentov t raspored
    • 4.4. Fišerov F raspored i hi-kvadrat raspored
  • 5. Uzorak i uzoračke ocjene
  • 6. Statističko testiranje hipoteza
    • 6.1. t-test na osnovu jednog uzorka
    • 6.2. t-test na osnovu dva uzorka
    • 6.3. Test proporcija
    • 6.4. Analiza varijanse – ANOVA (klasična ANOVA i Welch ANOVA)
    • 6.5. Wilcoxonov test ranga na osnovu jednog uzorka
    • 6.6. Wilcoxonov test na osnovu dva uzorka
    • 6.7. Kruskal-Wallisov test
    • 6.8. Testovi normalnosti
      • 6.8.1. Jarque-Bera test normalnosti
      • 6.8.2. Pearsonov hi-kvadrat test normalnosti
    • 6.9. Testovi homogenosti varijanse
      • 6.9.1. F test jednakosti varijansi
      • 6.9.2. Bartlettov test homogenosti varijansi
      • 6.9.3. Fligner-Killeenov test homogenosti varijansi
  • 7. Linearna regresija
    • 7.1. Ocjena modela linearne regresije
    • 7.2. Dijagnostika ocijenjenog modela linearne regresije
  • 8. Binomna logistička regresija
  • 9. Literatura
  • Biografija
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9. Literatura

Achim Zeileis, Torsten Hothorn (2002). Diagnostic Checking in Regression Relationships. R News 2(3), 7-10. URL https://CRAN.R-project.org/doc/Rnews/

Adrian Trapletti and Kurt Hornik (2019). tseries: Time Series Analysis and Computational Finance. R package version 0.10-47.

Bartlett, M. S. (1937). Properties of sufficiency and statistical tests. Proceedings of the Royal Society of London Series A 160, 268-282. doi: 10.1098/rspa.1937.0109.

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

Chambers, J. M. (1992) Linear models. Chapter 4 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

Chambers, J. M., Freeny, A and Heiberger, R. M. (1992) Analysis of variance; designed experiments. Chapter 5 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

Crawley M. (2005). Statistics: An Introduction Using R. Wiley: West Sussex, U.K.

Dalgard P. (2002). Introductory Statistics with R. Springer: New York.

David F. Bauer (1972). Constructing confidence sets using rank statistics. Journal of the American Statistical Association 67, 687-690. doi: 10.1080/01621459.1972.10481279.

Dobson, A. J. (1990) An Introduction to Generalized Linear Models. London: Chapman and Hall.

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.

Fox, J. and Monette, G. (1992) Generalized collinearity diagnostics. JASA, 87, 178-183.

H. Wickham (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.

Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. URL http://www.jstatsoft.org/v40/i01/

Hastie, T. J. and Pregibon, D. (1992) Generalized linear models. Chapter 6 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.

Hyndman, R. J. and Fan, Y. (1996) Sample quantiles in statistical packages, American Statistician 50, 361-365. doi: 10.2307/2684934.

J. B. Cromwell, W. C. Labys and M. Terraza (1994): Univariate Tests for Time Series Models, Sage, Thousand Oaks, CA, pages 20-22.

John Fox and Sanford Weisberg (2019). An {R} Companion to Applied Regression, Third Edition. Thousand Oaks CA: Sage. URL: https://socialsciences.mcmaster.ca/jfox/Books/Companion/

Juergen Gross and Uwe Ligges (2015). nortest: Tests for Normality. R package version 1.0-4. https://CRAN.R-project.org/package=nortest

Kazmier, Leonard J. (1967). Statistical analysis for business and economics. New York : McGraw-Hill.

Lohr, S. L. (1999). Sampling: Design and analysis. Pacific Grove, CA: Duxbury Press.

Maindonald J, Braun J. (2003). Data Analysis and Graphics Using R. Cambridge University Press: Cambridge, U.K.

Matt Dowle and Arun Srinivasan (2020). data.table: Extension of `data.frame`. R package version 1.13.0. https://CRAN.R-project.org/package=data.table

McCullagh P. and Nelder, J. A. (1989) Generalized Linear Models. London: Chapman and Hall.

Miller, R. G. (1981) Simultaneous Statistical Inference. Springer.

Mirai Solutions GmbH (2020). XLConnect: Excel Connector for R. R package version 1.0.1. https://CRAN.R-project.org/package=XLConnect

Moore, D.S. (1986): Tests of the chi-squared type. In: D'Agostino, R.B. and Stephens, M.A., eds.: Goodness-of-Fit Techniques. Marcel Dekker, New York.

Myles Hollander and Douglas A. Wolfe (1973). Nonparametric Statistical Methods. New York: John Wiley & Sons. Pages 27-33 (one-sample), 68-75 (two-sample). Or second edition (1999).

R. Koenker (1981), A Note on Studentizing a Test for Heteroscedasticity. Journal of Econometrics 17, 107–112.

Radulović, J. (2003) Statistika, Drugo izdanje, Podgorica: Ekonomski fakultet.

Sturges, H. (1926). The Choice of a Class Interval. Journal of the American Statistical Association, 21(153), 65-66. Retrieved October 5, 2020, from http://www.jstor.org/stable/2965501

T.S. Breusch & A.R. Pagan (1979), A Simple Test for Heteroscedasticity and Random Coefficient Variation. Econometrica 47, 1287-1294

Thode Jr., H.C. (2002): Testing for Normality. Marcel Dekker, New York.

Tukey, J. W. (1977). Exploratory Data Analysis. Reading: Addison-Wesley.

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. New York: Springer.

Verzani J. (2018). Using R for Introductory Statistics, Chapman and Hall/CRC.

W. Krämer & H. Sonnberger (1986), The Linear Regression Model under Test. Heidelberg: Physica

William J. Conover, Mark E. Johnson and Myrle M. Johnson (1981). A comparative study of tests for homogeneity of variances, with applications to the outer continental shelf bidding data. Technometrics, 23, 351-361. doi: 10.2307/1268225.

Yandell, B. S. (1997) Practical Data Analysis for Designed Experiments. Chapman & Hall.

Žižić, M, Lovrić, M, Pavličić, D. (1992). Metodi statističke analize. Beograd: Ekonomski fakultet

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