| Call Number (LC) | Title | Results |
|---|---|---|
| QA278.8 .R43 2003eb | Recent advances and trends in nonparametric statistics | 1 |
| QA278.8 .S36 2019 |
Learn to use the Kruskal-Wallis test in R with data from the Opinions and Lifestyle Survey, well-being module (teaching dataset) (2015) / Learn to use the Mann-Whitney test in R with data from the British Crime Survey (2007-8) / Learn to use the Kolmogorov-Smirnov test in R with data from the Opinions and Lifestyle Survey (well-being module) (2015) / |
3 |
| QA278.8 .S46 1985eb | Theory and applications of sequential nonparametrics | 1 |
| QA278.8 .S52 2017 | Data analysis with small samples and non-normal data : nonparametrics and other strategies / | 1 |
| QA278.8 .S527 2008 | Statistics is easy! | 1 |
| QA278.8 .S527 2011 | Statistics is easy! | 1 |
| QA278.8.S54 | Introduction to nonparametric item response theory | 1 |
| QA278.8 S658 2017 | Analysis of failure and survival data / | 1 |
| QA278.8 .S74 1989 | Applied nonparametric statistical methods / | 1 |
| QA278.8 .S74 1989eb | Applied nonparametric statistical methods / | 1 |
| QA278.8 .S74 2000 | Applied nonparametric statistical methods / | 1 |
| QA278.8 .S74 2007 | Applied nonparametric statistical methods. | 1 |
| QA278.8 .T79 2008eb | Introduction to nonparametric estimation | 1 |
| QA278.8 .V53 2007eb | Nonparametric statistics with applications to science and engineering | 1 |
| QA278.8 .W37 2006eb | All of nonparametric statistics | 1 |
| QA278.8 .W38 2006 | All of nonparametric statistics / | 1 |
| QA278.8 .W8 2006 | Nonparametric regression methods for longitudinal data analysis / | 1 |
| QA278.8 ebook | Estadística no paramétrica, con ejemplos SPSS / | 1 |
| QA279 |
Variant construction from theoretical foundation to applications / RSM SIMPLIFIED : optimizing processes using response surface methods for design of ... experiments, second edition. Design and analysis of experiments / Nonreplicated experiments / Analysis of variance, design, and regression : linear modeling for unbalanced data / Generalized linear models with random effects : unified analysis via h-likelihood / JMP 13 basic analysis. Mastering probabilistic graphical models using Python : master probablistic graphical models by learning through real-world problems and illustrative code examples in Python / JMP version 13 fitting linear models / Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights. AIS transactions on replication research Competitive innovation and improvement : statistical design and control / JMP 13 design of experiments guide. JMP version 13 design of experiments guide. Python data cleaning cookbook : prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn and OpenAI / JMP 13 essential graphing. Using JMP 13. SYSTEM DYNAMICS modeling, simulation, and response. Designing, developing and evaluating a learning support tool : a case of design and development research (DDR) / Calculating variance. Empirical rule problems. MANOVA. Calculating means. Introduction to experimental design. Full factorial design. Two-way ANOVA. Chuang Wang discusses hierarchical linear modeling. Statistical inference in ANOVA. Two-way ANOVA tables. Empirical rule of standard deviation. Mechanisms of ANOVA. Interaction plots. Mathematics of ANOVA. Covariance & portfolios. An introduction to experimental designs I. An introduction to ANOVA. Coefficient of variation. Calculating standard deviation. An introduction to experimental designs II. Traceable human experiment design research : theoretical model and practical guide / Formulation simplified : finding the sweet spot through design and analysis of experiments with mixtures / Experimentieren : Einblicke in Praktiken und Versuchsaufbauten zwischen Wissenschaft und Gestaltung / Analysis of binary data / Handbook of graphical models / Components of variance Response surfaces : designs and analyses / Sample size choice : charts for experiments with linear models / Dynamic Linear Economic Models Standard deviations : flawed assumptions, tortured data, and other ways to lie with statistics / Optimization in engineering sciences : approximate and metaheuristic methods / Higher-order growth curves and mixture modeling with Mplus : a practical guide / Power estimation on electronic system level using linear power models / ANOVA and mixed models : a short introduction using R / Fixed effects analysis of variance Modello lineare : teoria e applicazioni con R / Statistical Methods for Experimental Research in Education and Psychology / Estadística para investigadores : diseño, innovación y descubrimiento / Heteroskedasticity in regression / Sparse graphical modeling for high dimensional data : a paradigm of conditional independence tests / Experimental design research : approaches, perspectives, applications / Probabilistic graphical models : 7th European Workshop, PGM 2014, Utrecht, the Netherlands, September 17-19, 2014. Proceedings / Statistical Methods: The Geometric Approach / Advanced linear modeling statistical learning and dependent data / Important applications of the Behrens-Fisher statistic and the false discovery rate / Designing quantitative experiments prediction analysis / Advances in growth curve models : topics from the Indian Statistical Institute / Pairwise multiple comparisons theory and computation / Trends and perspectives in linear statistical inference : proceedings of the LINSTAT2016 meeting held 22-25 August 2016 in Istanbul, Turkey / Plane answers to complex questions the theory of linear models / Theory and application of uniform experimental designs / Vector generalized linear and additive models : with an implementation in R / Vectors and functions of several variables / Generalized linear models with examples in R / A first course in linear models and design of experiments / Generalized linear mixed models with applications in agriculture and biology / ANOVA with dependent errors / Optimal design through the sub-relaxation method : understanding the basic principles / Optimal experimental design : a concise introduction for researchers / Experimental Design: With Application in Management, Engineering, and the Sciences. Modelli lineari generalizzati Optimal mixture experiments / Modeling correlated outcomes using extensions of generalized estimating equations and linear mix modeling Mathematical portfolio theory and analysis / Linear models and design / Response surface methodology : research advances and applications / DOE SIMPLIFIED practical tools for effective experimentation, third edition. SPSS data analysis for univariate, bivariate, and multivariate statistics Mixed models : theory and applications with R / Matrix algebra for linear models / Applied univariate, bivariate, and multivariate statistics / PRIMER ON LINEAR MODELS Experimental designs / |
98 |
| QA279-279.2 | Introduction to experimental designs with PROC GLIMMIX of SAS : applications in food science and agricultural science / | 1 |
