| Call Number (LC) | Title | Results |
|---|---|---|
| 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 |
| QA279 .A45 2019 |
Learn about ANCOVA in Stata with data from the Eurobarometer (63.1, Jan-Feb 2005) / Learn to use one-way ANOVA in Stata with data from the disgust scale revised (2012) / |
2 |
| QA279 .A524 |
Analysis of variance / Analysis of variance |
2 |
| QA279 .A526 1997 | Introduction to the statistical analysis of categorical data / | 1 |
| QA279 .A527 1991 | The statistical analysis of categorical data / | 1 |
| QA279 .A527 1994 | The statistical analysis of categorical data / | 1 |
| QA279 .A5287 2000 | DOE simplified : practical tools for effective experimentation / | 1 |
| QA279 .A5287 2007 | DOE simplified : practical tools for effective experimentation / | 1 |
| QA279 .A5287 2015 | DOE simplified : practical tools for effective experimentation / | 2 |
| QA279 .A52873 2018 | Formulation simplified : finding the sweet spot through design and analysis of experiments with mixtures / | 1 |
| QA279 .A53 | Design of experiments : a realistic approach / | 1 |
| QA279 .A53 1974 | Design of experiments : a realistic approach / | 1 |
| QA279 .A53 2019 | Analyzing data with two or more independent variables. | 1 |
| QA279 .A58 2023 | Design of experiments for engineers and scientists / | 1 |
| QA279 .A67 2005 | Applied optimal designs / | 1 |
| QA279 .A88 2007eb | Optimum experimental designs, with SAS / | 1 |
| QA279 .B35 2008 |
Design of comparative experiments / Design of Comparative Experiments. |
2 |
| QA279 .B374 1999 | Graphical methods for the design of experiments / | 1 |
