Kimmo Vehkalahti, tilastotieteilijä / datataiteilija

Kimmon kirjoja (Kimmo's books)

[ks. kanssa kasa kirjoja kotimaisilla kielillä]

  • Agresti, Alan (2002). Categorical Data Analysis, Second Edition, Wiley.
  • Aitkin, Murray; Anderson, Dorothy; Francis, Brian & Hinde, John (1989). Statistical Modelling in GLIM. Oxford University Press.
  • Alwin, Duane F. (2007). Margins of Error: A Study of Reliability in Survey Measurement. Wiley.
  • Anderson, T. W. (2003). An Introduction to Multivariate Statistical Analysis. Third Edition, Wiley.
  • Andrew, Raichel (2004). The CSS Anthology: 101 Essential Tips, Tricks & Hacks. Sitepoint.
  • Andrews, George E. & Eriksson, Kimmo (2004). Integer Partitions. Cambridge University Press.
  • Angrist, Joshua D. & Pischke, Jörn-Steffen (2009). Mostly Harmless Econometrics. Princeton University Press.
  • Bartholomew, David; Knott, Martin & Moustaki, Irini (2011). Latent Variable Models and Factor Analysis: A Unified Approach, Third Edition, Wiley.
  • Bhatia, Rajendra (1997). Matrix Analysis. Springer.
  • Bhatia, Rajendra (2007). Positive Definite Matrices. Princeton University Press.
  • Biggs, John (2003). Teaching for Quality Learning at University. Second Edition, The Society for Research into Higher Education & Open University Press.
  • Booth, Vernon (1993). Communicating in Science: Writing a Scientific Paper and Speaking at Scientific Meetings. Second Edition, Cambridge University Press.
  • Boslaugh, Sarah (2005). An Intermediate Guide to SPSS Programming: Using Syntax for Data Management. Sage.
  • Box, George E. P. (2013). An Accidental Statistician: The Life and Memories of George E. P. Box. Wiley.
  • Bram, Uri (2011). Thinking Statistically. CreateSpace.
  • Brennan, Robert L. (2001). Generalizability Theory. Springer.
  • Byrne, Barbara M. (2012). Structural Equation Modeling with Mplus. Routledge.
  • Casella, George & Berger, Roger L. (2002) Statistical Inference. Second Edition, Duxbury.
  • Chatfield, Christopher & Collins, Alexander J. (1980). Introduction to Multivariate Statistics. Chapman & Hall.
  • Chen, Chun-houh; Härdle, Wolfgang & Unwin, Antony, eds. (2008). Handbook of data Visualization. Springer.
  • Chiesi, Francesca & Primi, Caterina (2011). Applicazioni di psicometria.
  • Cleveland, William S. (1993). Visualizing Data. Hobart Press.
  • Cochran, W. G. (1977). Sampling Techniques. Wiley.
  • Cook, R. Dennis & Weisberg, Sanford (1999). Applied Regression Including Computing and Graphics. Wiley.
  • Cornillon, Pierre-Andre; Guyader, Arnaud; Husson, Francois; Jegou, Nicolas; Josse, Julie; Kloareg, Maela; Matzner-Lober, Eric & Rouvière, Laurent (2012). R for Statistics. Chapman & Hall/CRC.
  • Coupland, D. (1995). Microserfs. Flamingo.
  • Cozby, Paul C. (2009). Methods in Behavioral Research. Tenth Edition, McGraw-Hill.
  • Crawley, Michael J. (2009). The R Book. Wiley.
  • Cudeck, Robert & MacCallum, Robert C., eds. (2007). Factor Analysis at 100: Historical Developments and Future. Lawrence Erlbaum.
  • Dalgaard, Peter (2002). Introductory Statistics with R. Springer.
  • Dasu, Tamraparni & Johnson, Theodore (2003). Exploratory Data Mining and Data Cleaning. Wiley.
  • Davidson, Fred (1996). Principles of Statistical Data Handling. Sage.
  • Davidson, Russell & MacKinnon, James G. (2004). Econometric Theory and Methods. Oxford University Press.
  • Day, Robert A. (1998). How to Write & Publish a Scientific Paper. Fifth Edition, Oryx Press.
  • de Gruijter, Dato N. M. & van der Kamp, Leo J. Th. (2008). Statistical Test Theory for the Behavioral Sciences. Chapman and Hall.
  • de Sá, Joaquim P. Marques (2007). Applied Statistics Using SPSS, STATISTICA, MATLAB and R. Second Edition, Springer.
  • DeGroot, Morris H. (1989). Probability and Statistics. Second Edition, Addison-Wesley.
  • DeMaris, Alfred (2004). Regression with Social Data: Modeling Continuous and Limited Response variables. Wiley.
  • Dennis, Brian (2012). The R Student Companion. Chapman & Hall/CRC.
  • Dodge, Yadolah (2008). The Concise Encyclopedia of Statistics. Springer.
  • Draper, Norman R. & Smith, Harry (1998). Applied Regression Analysis, Third Edition, Wiley.
  • Drosg, Manfred (2009). Dealing with Uncertainties: A Guide to Error Analysis, Second Edition, Springer.
  • Dudewicz, Edward J. & Mishra, Satya N. (1988). Modern Mathematical Statistics. Wiley.
  • Durrett, Rick (1999). Essentials of Stochastic Processes. Springer.
  • Everitt, Brian (2009). Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences. Chapman & Hall/CRC.
  • Everitt, Brian (2005). An R and S-PLUS Companion to Multivariate Analysis. Springer.
  • Fergusson, Rosalind (2000). The New Penguin Dictionary of Abbreviations. Penguin Books.
  • Field, Andy (2009). Discovering Statistics Using SPSS, Third Edition, Sage.
  • Field, Andy; Miles, Jeremy & Field, Zoë (2012). Discovering Statistics Using R. Sage.
  • Finkelstein, Leo (2005). Pocket Book of Technical Writing for Engineers and Scientists, Second Edition, McGraw-Hill.
  • Fleiss, Joseph L.; Levin, Bruce & Myunghee, Cho Paik (2003). Statistical Methods for Rates and Proportions, Third Edition. Wiley.
  • Forshaw, Mark (2007). Easy Statistics in Psychology: a BPS Guide. BPS Blackwell.
  • Fowler, Floyd J. (1995). Improving Survey Questions: Design and Evaluation. Applied Social Research Methods Series, Volume 38, Sage.
  • Francis, Brian; Green, Mick & Payne, Clive, eds. (1994). The GLIM system: generalized linear interactive modelling. Oxford University Press.
  • Freedman, David A. (2010). Statistical Models and Causal Inference: A Dialogue with the Social Sciences (Edited by David Collier, Jasjeet S. Sekhon and Philip B. Stark). Cambridge University Press.
  • Freedman, David A. (2009). Statistical Models: Theory and Practice, Revised Edition. Cambridge University Press.
  • Frey, Bruce (2006). Statistics Hacks. O'Reilly.
  • Gelman, Andrew & Cortina, Jeronimo, eds. (2009). A Quantitative Tour of the Social Sciences. Cambridge University Press.
  • Gelman, Andrew & Hill, Jennifer (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.
  • Gelman, Andrew & Nolan, Deborah (2002). Teaching Statistics - a bag of tricks. Oxford University Press.
  • Givens, Geof H. & Hoeting, Jennifer A. (2005). Computational Statistics. Wiley.
  • Golub, Gene H. & Van Loan, Charles F. (1996). Matrix Computations, Third Edition, The Johns Hopkins University Press.
  • Good, Phillip I. & Hardin, James W. (2003). Common Errors in Statistics (and How to Avoid Them). Wiley.
  • Goossens, Michel; Mittelbach, Frank; Rahtz, Sebastian; Roegel, Denis & Voss, Herbert (2007). The LaTeX Graphics Companion, Second Edition. Addison-Wesley.
  • Gower, J. C. & Hand, D. J. (1996). Biplots. Chapman & Hall.
  • Greenacre, Michael (2010). Biplots in Practice. Fundación BBVA.
  • Greenacre, Michael (2007). Correspondence Analysis in Practice, Second Edition, Chapman & Hall/CRC.
  • Greenacre, Michael & Blasius, Jörg, eds. (2006). Multiple Correspondence Analysis and Related Methods. Chapman & Hall/CRC.
  • Grimm, Laurence G. & Yarnold, Paul R., eds. (1995). Reading and Understanding Multivariate Statistics. American Psychological Association.
  • Grimm, Laurence G. & Yarnold, Paul R., eds. (2000). Reading and Understanding More Multivariate Statistics. American Psychological Association.
  • Grinstead, Charles M. & Snell, J. Laurie (1997). Introduction to Probability, Second Revised Edition. American Mathematical Society.
  • Groves, Robert M.; Fowler Jr., Floyd J.; Couper, Mick P.; Lepkowski, James M.; Singer, Eleanor & Tourangeau, Roger (2004). Survey Methodology. Wiley.
  • Gustafson, Karl (2012). The Crossing of Heaven: Memoirs of a Mathematician. Springer.
  • Hadlock, Charles R. (2012). Six Sources of Collapse. The Mathematical Association of America.
  • Hair Jr, Joseph F.; Anderson, Rolph E.; Tatham, Ronald L. & Black, William C. (1998). Multivariate Data Analysis. Fifth Edition, Prentice Hall.
  • Hand, David J. (2008). Statistics: A Very Short Introduction. Oxford University Press.
  • Hand, David J. (2010). Measurement Theory and Practice. Wiley.
  • Hand, David J.; Mannila, Heikki & Smyth, Padhraic (2001). Principles of Data Mining (Adaptive Computation and Machine Learning). A Bradford Book.
  • Hardy, G. H. & Wright, E. M. (2008). An Introduction to the Theory of Numbers, 6th edition. Oxford University Press.
  • Harville, David A. (2012). Matrix Algebra from a Statistician's Perspective. Springer.
  • Hayes, Andrew F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. Guilford Press.
  • Heck, Ronald H. & Thomas, Scott L. (2009). An Introduction to Multilevel Modeling Techniques, Second Edition. Routledge.
  • Henkel, Ramon E. (1976). Tests of Significance. Sage.
  • Hodges, Andrew (2007). One to Nine - The Inner Life of Numbers. Short Books.
  • Hosmer, David W. & Lemeshow, Stanley (2000). Applied Logistic Regression, Second Edition, Wiley.
  • Howell, David C. (2002). Statistical Methods for Psychology, Fifth Edition, Duxbury.
  • Hubert, Lawrence & Wainer, Howard (2012). A Statistical Guide for the Ethically Perplexed. Chapman & Hall/CRC.
  • Isaacson, Walter (2011). Steve Jobs. Simon & Schuster.
  • Isotalo, Jarkko; Puntanen, Simo & Styan, George P. H. (2005). Matrix Tricks for Linear Statistical Models: Our Personal Top Sixteen. Department of Mathematics, Statistics and Philosophy, A363, University of Tampere, Finland.
  • Jacoby, W. G. (1998). Statistical Graphics for Univariate and Bivariate Data. Quantitative Applications in the Social Sciences, 117, Sage.
  • Jaynes, E. T. (2003). Probability Theory: the Logic of Science. Cambridge University Press.
  • Johnson, Richard A. & Wichern, Dean W. (2002). Applied Multivariate Statistical Analysis, Fifth Edition, Prentice Hall.
  • Kernighan, Brian W. & Ritchie, Dennis M. (1988). The C Programming Language. Second Edition, Prentice Hall.
  • Kleinbaum, David G.; Kupper, Lawrence L.; Muller, Keith E. & Nizam, Azhar (1998). Applied Regression Analysis and Other Multivariable Methods. Third Edition, Duxbury.
  • Knuth, Donald E. (1997). The Art of Computer Programming, Volume 1: Fundamental Algorithms. Addison-Wesley.
  • Knuth, Donald E. (1997). The Art of Computer Programming, Volume 2: Seminumerical Algorithms. Addison-Wesley.
  • Knuth, Donald E. (1997). The Art of Computer Programming, Volume 3: Sorting and Searching. Addison-Wesley.
  • Kroonenberg, Pieter M. (2008). Applied Multiway Data Analysis. Wiley.
  • Krzanowski, W. J. (2000). Principles of Multivariate Analysis. Revised Edition, Oxford University Press.
  • Lakin, Steve (2011). How to Use Statistics. Pearson Education.
  • Lamport, Leslie (1994). LaTeX: a document preparation system. Second Edition, Addison-Wesley.
  • Le Roux, Brigitte & Rouanet, Henry (2010). Multiple Correspondence Analysis. Sage.
  • Lehmann, Erich L. (2008). Reminiscences of a Statistician: The Company I Kept. Springer.
  • Lie, Håkon W. & Bos, Bert (1997). Cascading Style Sheets. Addison-Wesley.
  • Little, Todd D. (2013). Longitudinal Structural Equation Modeling. Guilford Press.
  • Magnello, Eileen & Van Loon, Borin (2009). Introducing Statistics: a Graphic Guide. Icon Books.
  • Maindonald, John & Braun, W. John (2010). Data Analysis and Graphics Using R. An Example-Based Approach, Third Edition, Cambridge University Press.
  • Manly, Bryan (2004). Multivariate Statistical Methods: A Primer, Third Edition, Chapman & Hall.
  • Marsh, Catherine & Elliott, Jane (2008). Exploring Data: An Introduction to Data Analysis for Social Scientists, Second Edition, Polity Press.
  • Matloff, Norman (2011). The Art of R Programming: A Tour of Statistical Software Design. No Starch Press.
  • McCallum, Q. Ethan (2012). Bad Data Handbook. O'Reilly.
  • McCullagh, P. & Nelder, J. A. (1989). Generalized Linear Models. Second Edition, Chapman & Hall.
  • Meeus, Jean (1998). Astronomical Algorithms, Second Edition. Willmann-Bell.
  • Milne, A. A. (1991). Winnie-The-Pooh. With colour illustrations by E.H. Shepard. Mammoth, London.
  • Mittelbach, Frank & Goossens, Michel (2004). The LaTeX Companion, Second Edition. Addison-Wesley.
  • Mosteller, Frederick (1965). Fifty Challenging Problems in Probability with Solutions. Dover Publications.
  • Mulaik, Stanley A. (2009). Foundations of Factor Analysis, Second Edition. Chapman & Hall/CRC.
  • Mustonen, Seppo (1992). Survo, An Integrated Environment for Statistical Computing and Related Areas. Survo Systems.
  • Mustonen, Seppo (1989). Programming SURVO 84 in C. SURVO 84C Contributions, 3. Department of Statistics, University of Helsinki.
  • Mäki, Uskali, ed. (2009). The Methodology of Positive Economics: Reflections on the Milton Friedman Legacy.
  • Nielsen, Jakob & Tahir, Marie (2002). Homepage Usability: 50 websites deconstructed. New Riders Publishing.
  • Nielsen, Jakob (1999). Designing Web Usability. New Riders Publishing.
  • Pallant, Julie (2001). SPSS Survival Manual. Open University Press.
  • Payne, Stanley L. (1951). The Art of Asking Questions. Princeton University Press.
  • Pennings, Paul; Keman, Hans & Kleinnijenhuis, Jan (2006). Doing Research in Political Science: An Introduction to Comparative Methods and Statistics. Second Edition, Sage.
  • PostScript Language Reference Manual. Adobe Systems Incorporated, 1985.
  • PostScript Language Program Design. Adobe Systems Incorporated, 1988.
  • PostScript Language Tutorial and Cookbook. Adobe Systems Incorporated, 1985.
  • Press, William H.; Flannery, Brian P.; Teukolsky, Saul A. & Vetterling, William T. (1988). Numerical Recipes in C. Cambridge University Press.
  • Presser, Stanley; Rothgeb, Jennifer M.; Couper, Mick P.; Lessler, Judith T.; Martin, Elizabeth; Martin, Jean & Singer, Eleanor, eds. (2004). Methods for Testing and Evaluating Survey Questionnaires. Wiley.
  • Primi, Caterina & Chiesi, Francesca (2005). Introduzione alla psicometria.
  • Publication manual of the American Psychological Association. Fifth Edition, American Psychological Association, 2001.
  • Puntanen, Simo; Seber, George A. F. & Styan, George P. H. (2005). Definitions and facts for linear statistical models and multivariate statistical analysis using linear algebra. Department of Mathematics, Statistics and Philosophy, A357, University of Tampere, Finland.
  • Puntanen, Simo; Styan, George P. H. & Isotalo, Jarkko (2011). Matrix Tricks for Linear Statistical Models: Our Personal Top Twenty. Springer.
  • Puntanen, Simo & Styan, George P. H. (2006). A conversation with Sujit Kumar Mitra in 1993 and some comments on his research publications. Department of Mathematics, Statistics and Philosophy, A372, University of Tampere, Finland.
  • Puntanen, Simo & Styan, George P. H. (2004). Issai Schur (1875-1941) and the early development of the Schur complement, with applications to statistics and probability. Department of Mathematics, Statistics and Philosophy, A346, University of Tampere, Finland.
  • Puntanen, Simo & Styan, George P. H. (2003). Matrix Tricks for Linear Statistical Models: Our Personal Top Thirteen. Department of Mathematics, Statistics and Philosophy, A345, University of Tampere, Finland.
  • Puntanen, Simo & Styan, George P. H. (2000). Formulas Useful for Regression Analysis and Related Matrix Theory, Second Edition, Department of Mathematics, Statistics and Philosophy, A330, University of Tampere, Finland.
  • Raykov, Tenko & Marcoulides, George A. (2008). An Introduction to Applied Multivariate Analysis. Routledge.
  • Reid, Glenn C. (1990). Thinking in PostScript. Addison-Wesley.
  • Robbins, Naomi B. (2005). Creating More Effective Graphs. Wiley.
  • Ross, Sheldon M. (1997). Probability Models. Sixth Edition, Academic Press.
  • Råde, Lennart & Westergren, Bertil (2004). Mathematics Handbook, Fifth Edition, Studentlitteratur.
  • Ruppert, David; Wand, M. P. & Carroll, R. J. (2003). Semiparametric Regression. Cambridge University Press.
  • Ryan, T. P. (1997). Modern Regression Methods. Wiley.
  • Salkind, Neil J. (2011). Statistics for People Who (Think They) Hate Statistics. Fourth Edition, Sage.
  • Salsburg, David (2001). The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century. Holt Paperbacks.
  • Saris, Willem E. & Gallhofer, Irmtraud N. (2007). Design, Evaluation, and Analysis of Questionnaires for Survey Research. Wiley.
  • Schipp, Bernhard & Krämer, Walter, eds. (2009). Statistical Inference, Econometric Analysis and Matrix Algebra. Festschrift in Honour of Götz Trenkler. Springer.
  • Schmitt, Christopher (2002). Designing CSS Web Pages. New Riders Publishing.
  • Seber, George A. F. (2004). Multivariate Observations. Reprint of First Edition (1984). Wiley.
  • Seber, George A. F. (2008). A Matrix Handbook for Statisticians. Wiley.
  • Seber, George A. F. & Lee, Alan J. (2003). Linear Regression Analysis. Second Edition, Wiley.
  • Sedgewick, Robert (1990). Algorithms in C. Addison-Wesley.
  • Silver, Nate (2012). The Signal and the Noise: Why So Many Predictions Fail - but Some Don't. Penguin Books.
  • Spiegelhalter, David (2015). Sex by Numbers: What Statistics Can Tell Us About Sexual Behaviour.
  • Spiegelhalter, David (2014). The Norm Chronicles: Stories and numbers about danger.
  • Stevens, James P. (2002). Applied Multivariate Statistics for the Social Sciences. Fourth Edition, Lawrence Erlbaum Associates, Mahwah, New Jersey.
  • Streiner, David (2013). A Guide for the Statistically Perplexed: Selected Readings for Clinical Researchers.
  • Swinburne, Richard, ed. (2002). Bayes's Theorem. Proceedings of the British Academy, Oxford University Press.
  • Tabachnick, Barbara G. & Fidell, Linda S. (1996). Using Multivariate Statistics. Third Edition, HarperCollins.
  • Taleb, Nassim Nicholas (2004). Fooled by Randomness, Second Edition. Penguin Books.
  • Taleb, Nassim Nicholas (2010). The Black Swan, Second Edition. Penguin Books.
  • Taleb, Nassim Nicholas (2010). The Bed of Procrustes: Philosophical and Practical Aphorisms. Random House.
  • Taleb, Nassim Nicholas (2012). Antifragile: Things That Gain from Disorder. Random House.
  • Tan, Pang-Ning; Steinbach, Michael & Kumar, Vipin (2006). Introduction to Data Mining. Addison-Wesley.
  • The Kalevala, translated by F. P. Magoun, Jr. Harvard University Press, 1963.
  • The New Penguin English Dictionary. Penguin Books, 2000.
  • The New Penguin Thesaurus. Penguin Books, 2000.
  • Thomson, Bruce (2006). Foundations of Behavioral Statistics: An Insight-Based Approach. The Guilford Press.
  • Trask, R. L. (1997). The Penguin Guide to Punctuation. Penguin Books.
  • Tufte, Edward R. (1990). Envisioning Information. Graphics Press. (Eleventh printing, November 2006.)
  • Tufte, Edward R. (1997). Visual Explanations: Images and Quantities, Evidence and Narrative. Graphics Press. (Eighth printing, with revisions, June 2007.)
  • Tufte, Edward R. (2001). The Visual Display of Quantitative Information, Second Edition. Graphics Press. (Fifth printing, August 2007.)
  • Tufte, Edward R. (2006). Beautiful Evidence. Graphics Press. (Second printing, January 2007.)
  • Upton, Graham & Cook, Ian (2004). Oxford Dictionary of Statistics. Oxford University Press.
  • van Belle, Gerald (2002). Statistical Rules of Thumb. Wiley.
  • Vollenweider, Peter (1990). Encapsulated PostScript. Prentice Hall.
  • Voss, Jochen (2013). An Introduction to Statistical Computing: A Simulation-based Approach. Wiley.
  • Wainer, Howard (2000). Visual Revelations. Psychology Press.
  • Wainer, Howard (2007). Graphic Discovery: A Trout in the Milk and Other Visual Adventures.
  • Wall, Larry; Christiansen, Tom & Orwant, Jon (2000). Programming Perl. Third Edition, O'Reilly & Associates.
  • Weisberg, Sanford (2005). Applied Linear Regression. Third Edition, Wiley.
  • Weiss, Mark Allen (1993). Data Structures and Algorithm Analysis in C. Benjamin/Cummings.
  • Weller, Susan C. & Romney, A. Kimball (1990). Metric Scaling. Sage.
  • Wells, David (1987). The Penguin Dictionary of Curious and Interesting Numbers. Penguin Books.
  • Wickham, Hadley (2014). Advanced R.
  • Wickham, Hadley (2015). R Packages.
  • Wild, Christopher J. & Seber, George A. F. (2000). Chance Encounters: a First Course in Data Analysis and Inference. Wiley.
  • Woolfson, Michael M. (2012). Everyday Probability and Statistics. Imperial College Press.
  • Yau, Nathan (2013). Data Points: Visualization That Means Something. Wiley.
  • Yau, Nathan (2011). Visualize This: The FlowingData Guide to Design, Visualization, and Statistics. Wiley.
  • Ziliak, Stephen T. & McCloskey, Deirdre N. (2008). The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives. University of Michigan Press.

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