Ordinal Data Analysis: Statistical Perspective with Applications, Dasgupta, Nairanjana ; Morrison, Jillian
Автор: Durbin, James; Koopman, Siem Jan Название: Time Series Analysis by State Space Methods ISBN: 019964117X ISBN-13(EAN): 9780199641178 Издательство: Oxford Academ Рейтинг: Цена: 21226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This new edition updates Durbin & Koopman`s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis.
Описание: This guide to the latest statistical techniques for estimating the parameters of infectious diseases arises from a groundbreaking collaboration between Hasselt and Antwerp universities in Belgium, and features valuable case studies and software advice.
Автор: Pierre Duchesne; Bruno R?millard Название: Statistical Modeling and Analysis for Complex Data Problems ISBN: 144193751X ISBN-13(EAN): 9781441937513 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Statistical Modeling and Analysis for Complex Data Problems treats some of today's more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors - largely from Montreal's GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes - present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
Автор: Richard M. Heiberger; Burt Holland Название: Statistical Analysis and Data Display ISBN: 1441923209 ISBN-13(EAN): 9781441923202 Издательство: Springer Рейтинг: Цена: 24394.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs.
Автор: Christensen Название: Analysis Of Variance, Design & Regr ISBN: 1498730140 ISBN-13(EAN): 9781498730143 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data.
New to the Second Edition
Reorganized to focus on unbalanced data
Reworked balanced analyses using methods for unbalanced data
Introductions to nonparametric and lasso regression
Introductions to general additive and generalized additive models
Examination of homologous factors
Unbalanced split plot analyses
Extensions to generalized linear models
R, Minitab(R), and SAS code on the author's website
The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.
Автор: Eric D. Kolaczyk Название: Statistical Analysis of Network Data ISBN: 038788145X ISBN-13(EAN): 9780387881454 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides a treatment of the foundations common to the statistical analysis of network data across the disciplines. This book covers such topics as: network mapping, characterization of network structure, network sampling, and the modeling, inference, and prediction of networks, network processes, and network flows.
Автор: Erling B. Andersen Название: The Statistical Analysis of Categorical Data ISBN: 364278819X ISBN-13(EAN): 9783642788192 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this book is to give an up to date account of the most commonly uses statisti- cal models for categorical data. In many cases, the data sets are those data sets, which were not included in the examples of the book, although they at one point in time were regarded as potential can- didates for an example.
Автор: H. Bozdogan; Arjun K. Gupta Название: Multivariate Statistical Modeling and Data Analysis ISBN: 9401082642 ISBN-13(EAN): 9789401082648 Издательство: Springer Рейтинг: Цена: 17923.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The areas covered included topics in the analysis of repeated measurements, cluster analysis, discriminant analysis, canonical cor- relations, distribution theory and testing, bivariate densi ty estimation, factor analysis, principle component analysis, multidimensional scaling, multivariate linear models, nonparametric regression, etc.
Автор: Ren? Carmona Название: Statistical Analysis of Financial Data in S-Plus ISBN: 1441919082 ISBN-13(EAN): 9781441919083 Издательство: Springer Рейтинг: Цена: 10483.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. master students in finance and MBA`s, and to practitioners with financial data analysis concerns.
Автор: Ratner Bruce Название: Statistical and Machine-Learning Data Mining ISBN: 1439860912 ISBN-13(EAN): 9781439860915 Издательство: Taylor&Francis Рейтинг: Цена: 9033.00 р. Наличие на складе: Нет в наличии.
Описание: Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.
Описание: This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchatel, Switzerland, from August 4-9, 2002.
Автор: Xia Yinglin, Sun Jun, Chen Ding-Geng Название: Statistical Analysis of Microbiome Data with R ISBN: 9811315337 ISBN-13(EAN): 9789811315336 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: Introduction to R, RStudio and ggplot2 1.1 Introduction to R 1.2 Introduction to RStudio 1.3 Introduction to ggplot2 1.4 Introduction to R Packages for Microbiome Data Chapter 2: What are Microbiome Data?2.1 Phylogenetics--The Basics 2.2 What Microbiome Data Look Like? 2.2.1 Basic Data Structure and Format of Microbiome Data 2.2.2 OUT Table2.2 3 Response Variables and Covariates2.3 Some Specific Features of Microbiome Data Chapter 3: Bioinformatic and Statistical Analyses of Microbiome Data 3.1 Overview of Bioinformatic Analysis 3.1.1 Taxonomic Diversity: from the 16S-based Approach 3.1.2 Taxonomic Profiling of Shotgun Metagenomes3.1.3 Introduction to Bioinformatic toolso QIIME o Mothuro 16S rRNA Gene Sequence Data Analysis using QIIME and Mothuro Other Biostatistics Tools3.2 Statistical Analysis of Microbiome Community Composition 3.2.1 Alpha Diversity Analysis and Statistical Measurements 3.2.2 Beta Diversity Analysis and Statistical Measurements3.3 Multivariate Statistical Techniques 3.3.1Data Visualization: Principal Component and Principal Coordinates Analyses 3.3.2 Classification and Clustering with Visualization 3.4 Hypothesis Testing and Statistical Modeling 3.4.1 Statistical Testing of Microbiome Community 3.4.2 Multivariate Statistical Methods and Modeling of Microbiome Community and Environmental Covariates3.4.3 Mediational and Longitudinal Microbiome Data Analysis3.4.4 Host Interactions and Interventions3.4.5 Mediation Analysis and Longitudinal Analysis 3.5 Multiple Comparisons and Testing Correlation 3.6 Correlation Analysis of Microbiome Community and Environmental Covariates Chapter 4: Power and Sample Size Calculation in Hypothesis Testing Microbiome Data4.1 Statistical Hypothesis Testing and Power Analysis 4.1.1 Hypothesis Testing 4.1.2 Power Analysis and Sample Size Calculation4.2 Comparing Diversity or a Taxon of Interest between Two Groups 4.2.1 Hypotheses and Basic Power and Sample Size Formulas4.2.2 Diversity Data for Vitamin D and Vitamin D Receptor Study4.2.3 Theory of Power for a Test for Comparing Proportions4.2.4 Power of Fisher's Exact Test for Comparing Proportions4.2.5 R Function power.t.test4.3 Comparing Diversity across More than Two Groups 4.3.1 Hypotheses and Theory of Power for One-Way ANOVA4.3.2 Examples4.3.2 R Function pwr.avova.test4.4 Comparing the Frequency of all Taxa across Groups4.4.1 Hypotheses Testing and Power and Sample Size Calculations for Comparing all Taxa4.4.2 Dirichlet-multinomial model in Power and Sample Size Analyses4.4.3 Power and Size Calculations using HMP Package4.5 Power and Sample Size Estimation using Pairwise Distances and PERMANOVA 4.5.1 PERMANOVA and Estimation of PERMANOVA Power 4.5.2 Examples using micropower Package4.6 Power Calculations using ANOSIM Package Chapter 5: Microbiome Data Management5.1 Data Importing and Merging datasets or components 5.1.1 Importing the Output from QIIME 5.1.2 Importing the Output from mothur&
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