Econometric Analysis of Panel Data (Baltagi Badi H.)(Pevná vazba)

Econometric Analysis of Panel Data (Baltagi Badi H.)(Pevná vazba)

This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among practitioners

Econometric Analysis of Cross Section and Panel Data (Wooldridge Jeffrey M.)(Pevná vazba)

The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated.The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data

Applied Econometric Analysis: Emerging Research and Opportunities (Sloboda Brian W.)(Pevná vazba)

Explores the theoretical and practical aspects of detailed econometric theories and applications within economics, political science, public policy, business, and finance. The book features coverage on a broad range of topics, including cointegration, machine learning, and time series

Analysis of Financial Time Series (Tsay Ruey S.)(Pevná vazba)

This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods

Introduction to Meta-Analysis (Borenstein Michael)(Pevná vazba)

A clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated

Rna-Seq Data Analysis: A Practical Approach (Korpelainen Eija)(Pevná vazba)

The State of the Art in Transcriptome Analysis RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine

Econometric Methods with Applications in Business and Economics (Heij Christiaan)(Pevná vazba)

Applied work in business and economics often require a solid understanding of econometric methods to support decision making. This book provides this, encouraging an active engagement with these methods by means of examples and exercises, so that the student develops a working understanding and

An Introduction to Categorical Data Analysis (Agresti Alan)(Pevná vazba)

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers

The Frailty Model (DuChateau Luc)(Pevná vazba)

This book discusses the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients

Bayesian Data Analysis (Gelman Andrew)(Pevná vazba)

Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data

Bayesian Methods for Data Analysis (Carlin Bradley P.)(Pevná vazba)

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian

Graphical Data Analysis with R (Unwin Antony)(Pevná vazba)

See How Graphics Reveal InformationGraphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages

Microeconometrics: Methods and Applications (Cameron A. Colin)(Pevná vazba)

This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the

Do What You Want: The Story of Bad Religion (Bad Religion)(Pevná vazba)

Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs (Kepner Jeremy)(Pevná vazba)

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless

A Primer in Econometric Theory (Stachurski John)(Pevná vazba)

A concise treatment of modern econometrics and statistics, including underlying ideas from linear algebra, probability theory, and computer programming.This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability

Applied Survey Data Analysis (Heeringa Steven G.)(Pevná vazba)

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on

Excel Data Analysis: Modeling and Simulation (Guerrero Hector)(Pevná vazba)

Why does the World Need--Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a

Statistics and Analysis of Scientific Data (Bonamente Massimiliano)(Pevná vazba)

The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis

Principles of Analysis: Measure, Integration, Functional Analysis, and Applications (Junghenn Hugo D.)(Pevná vazba)

Principles of Analysis: Measure, Integration, Functional Analysis, and Applications prepares readers taking advanced courses in analysis, probability, harmonic analysis, and applied mathematics at the doctoral level. It is also designed so that the reader or instructor may select topics suitable to

Momentous Mobilities: Anthropological Musings on the Meanings of Travel (Salazar Noel B.)(Pevná vazba)

Grounded in an eclectic process of data collection, analysis of secondary sources and personal reflection, and drawing on a multi-sited and multi-method research design, Momentous Mobilities disentangles the meanings attached to temporary travels and stays

Fundamentals of Brain Network Analysis (Fornito Alex)(Pevná vazba)

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain

Mathematical Foundations for Data Analysis (Phillips Jeff M.)(Pevná vazba)

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data

Topological Data Analysis for Genomics and Evolution: Topology in Biology (Rabadan Raul)(Pevná vazba)

Biology has entered the age of Big Data. A technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative