Generalized Linear Models with Examples in R (Dunn Peter K.)(Pevná vazba)

Generalized Linear Models with Examples in R (Dunn Peter K.)(Pevná vazba)

*This book eases students into GLMs and motivates the need for GLMs by starting with regression.* A practical working knowledge of good applied statistical practice is developed through the use of these real data sets and numerous case studies*. Each example in the text is cross-referenced with the

Applied Regression Analysis and Generalized Linear Models (Fox John)(Pevná vazba)

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as

Foundations of Linear and Generalized Linear Models (Agresti Alan)(Pevná vazba)

A valuable overview of the most important ideas and results in statistical modelingWritten by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad,

Examples in Parametric Inference with R (Dixit Ulhas Jayram)(Pevná vazba)

This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do not have an advanced mathematical and statistical background. The topics discussed in the book are

A First Course in Bayesian Statistical Methods (Hoff Peter D.)(Pevná vazba)

and examples.- Belief, probability and exchangeability.- One-parameter models.- Monte Carlo approximation.- The normal model.- Posterior approximation with the Gibbs sampler.- The multivariate normal model.- Group comparisons and hierarchical modeling.- Linear regression.- Nonconjugate priors and

Data Visualisation with R: 111 Examples (Rahlf Thomas)(Pevná vazba)

Data for Everybody.- Structure and Technical Requirements.- Implementation in R.- Beyond R.- Regarding the Examples.- Categorical Data.- Distributions.- Time Series.- Scatter Plots.- Maps.- Illustrative Examples.- Interactive Visualisation with JavaScript: Highcharts and Mapael.-

Applied Linear Algebra (Olver Peter J.)(Pevná vazba)

Spatial and Spatio-Temporal Bayesian Models with R - Inla (Cameletti Michela)(Pevná vazba)

Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and

Ecological Models and Data in R (Bolker Benjamin M.)(Pevná vazba)

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and

Linear Model Theory: Exercises and Solutions (Zimmerman Dale L.)(Pevná vazba)

1 A Brief Introduction.- 2 Selected Matrix Algebra Topics and Results.- 3 Generalized Inverses and Solutions to Sytems of Linear Equations.- 4 Moments of a Random Vector and of Linear and Quadratic Forms in a Random Vector.- 5 Types of Linear Models.- 6 Estimability.- 7 Least Squares Estimation for

Glitter in the Green - In Search of Hummingbirds (Dunn Jon)(Pevná vazba)

Invitation to Biblical Preaching: Proclaiming Truth with Clarity and Relevance (Sunukjian Donald)(Pevná vazba)

Written in a conversational style with profuse examples to illustrate all concepts, Invitation to Biblical Preaching takes the reader step-by-step through the entire process of preparing a biblical message, from studying a passage with skill and integrity to delivering a message with persuasion,

Business Models in the Circular Economy: Concepts, Examples and Theory (de Angelis Roberta)(Pevná vazba)

Chapter 1 Introduction1.1 Book Aims1.2 Book StructureChapter 2 Sustainable Development, Corporate Environmental Sustainability and the Circular Economy2.1 Introduction2.2 Sustainable Development and Corporate Sustainability: An Assessment2.3 The Circular Economy: Context, Principles, Limitations

Mixed Effects Models and Extensions in Ecology with R (Zuur Alain)(Pevná vazba)

This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and

Precision Machining Technology (Hoffman Peter (Berks Career and Technology Center West Leesport Pennsylvania))(Pevná vazba)

Packed with detailed examples and illustrations, PRECISION MACHINING TECHNOLOGY, 2e delivers the ideal introduction to today's machine tool industry, equipping readers with a solid understanding of fundamental and intermediate machining skills. Now fully integrated with MindTap--an online, highly

A First Course in Linear Algebra (Beezer Robert A.)(Pevná vazba)

A First Course in Linear Algebra is an introduction to the basic concepts of linear algebra, along with an introduction to the techniques of formal mathematics. It begins with systems of equations and matrix algebra before moving into the theory of abstract vector spaces, eigenvalues, linear

Terrorism and Homeland Security (White Jonathan R.)(Pevná vazba)

Packed with engrossing examples and the most cutting-edge coverage available, best-selling TERRORISM AND HOMELAND SECURITY provides a theoretical and conceptual framework that enables you to understand how terrorism arises and how it functions. Acclaimed national terrorism expert Jonathan R. White

Models of Representation in Czech Literary History (Bilek Petr)(Pevná vazba)

In the last twenty years of their academic engagement in the field of literary history, the authors have focused predominantly on the explorations of various possible ways of writing literary history with the impulses and inspiration produced by recent literary theory. Their long discussions

Eavesdropping on the Emperor - Interrogators and Codebreakers in Britain's War With Japan (Kornicki Peter)(Pevná vazba)

Fantastic Origami Sea Creatures: 20 Incredible Paper Models (Fukui Hisao)(Pevná vazba)

Dive under the sea with these realistic marine origami models In Fantastic Origami Sea Creatures, Japanese origami expert Hisao Fukui shows you how to create incredibly detailed aquatic wildlife, including a giant squid, prehistoric creatures and even a massive blue whale calf The step-by-step

Paris Haussmann: A Model's Relevance (Jallon Benoit)(Pevná vazba)

First published in 2017 in conjunction with an exhibition at the Pavillon de l'Arsenal in Paris, this widely praised and still much sought-after book becomes available again in a new edition. It offers an analytical review from today's perspective of the French capital's profound transformation

Lego Amazing Vehicles (Skene Rona)(Pevná vazba)

Discover the world's most incredible things that go with specially commissioned LEGO(R) models. Which vehicle could fit five jumbo jets along its deck? How did firefighters travel to blazing emergencies before the invention of motor-powered fire engines? LEGO(R) Amazing Vehicles is packed full of

New Developments in Islamic Economics: Examples from Southeast Asia (Ab Rahman Asmak)(Pevná vazba)

New Developments in Islamic Economics: Examples from Southeast Asia investigates the latest developments in a vibrant and fast-moving area of practical financial and economic study. This book is primarily focused on Malaysian contexts, while also presenting perspectives from Indonesia and

Bayesian Evolutionary Analysis with Beast (Drummond Alexei J.)(Pevná vazba)

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when