Copula additive distributional regression enables the joint modeling of multiple outcomes, an essential aspect of many real-world research problems. This book provides an accessible overview of this modeling approach, with a particular focus on its...Loe edasi...
Applied Statistics with Python concentrates on applied and computational aspects of statistics, focussing on conceptual understanding and Python-based calculations. It compiles multiple aspects of applied statistics, teaching useful skills in statis...Loe edasi...
This book provides a conceptual introduction to regression and machine learning and its applications in education research. The book discusses its diverse applications, including its role in predicting future events based on the current data or expl...Loe edasi...
This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). It focuses on graphic displays of results as these are a core strength of using R for statistical analysis, and uses statistical...Loe edasi...
This book presents post-estimation and predictions strategies for the host of useful statistical models with applications in data science. Combining statistical learning and machine learning techniques in a unique and optimal way, it will help profe...Loe edasi...
Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors....Loe edasi...
This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling....Loe edasi...
Sufficient dimension reduction was first introduced in the early 90s as a set of graphical and diagnostic tools for regression with many predictors. Over the past two decades or so it has developed into a powerful theory and technique for handling...Loe edasi...
This book provides a broad overview of GAMLSS methodology and how it is implemented in R. It includes a comprehensive collection of real data examples, integrated code, and figures to illustrate the methods, and is supplemented by a website....Loe edasi...
The book focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field....Loe edasi...
(Ilmumisaeg: 28-Mar-2014, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781118762516)
A practical guide for handling and planning for missing data in clinical trials, Clinical Trials with Missing Data provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents st...Loe edasi...
(Ilmumisaeg: 15-Apr-2008, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9780470258019)
This book fills this gap, providing a comprehensive, self-contained introduction to regression modeling used in the analysis of time-to-event data in epidemiological, biostatistical, and other health-related research....Loe edasi...
(Ilmumisaeg: 19-Oct-1998, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9780470316931)
Simple graphs have always played a useful role in the analysis and presentation of data. Advances in computing have created the potential to substantially expand the role of visualization in statistical analyses. This book is about ideas for the gra...Loe edasi...
Sari: Wiley Series in Statistics & Applied Probability
(Ilmumisaeg: 11-Aug-1994, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9780470316863)
The aim of this study is to explore the use of interactive computer graphics in regression analysis by introducing a number of new graphical methods that take advantage of modern computer graphics technology. The authors introduce their own regressi...Loe edasi...
This book introduces English-speaking people the basic group method of data handling algorithm. It could be used as a reference source for researchers or as a textbook for specialized courses and seminars in modeling, applied mathematics, and applie...Loe edasi...
