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ENGLISH

Graphical Models

by Steffen L. (Emeritus Professor Of Statistics, Emeritus Professor Of Statistics, University Of Copenhagen) Lauritzen

~~74,35€~~ 66,92€ 10% OFF

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 This new and extended edition of Graphical Models provides the basic mathematical and statistical theory of graphical models, incorporating the many advances that have been made in the field since the publication of the first edition in 1996.
ENGLISH

Statistical Modelling In Glim4

by Brian Francis, John Hinde e Murray Aitkin

54,31€ + 10% CARD

 This new edition of the successful multi-disciplinary text Statistical Modelling in GLIM takes into account new developments in both statistical software and statistical modelling. Including three new chapters on mixture and random effects models, it provides a comprehensive treatment of the theory of statistical modelling with generalised linear models with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is also provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions. This book is ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines, including biology, medicine and the social sciences. Professional statisticians at all levels will also find it an invaluable desktop companion.
ENGLISH

In All Likelihood - Statistical Modelling And Inference Using Likelihood

by Yudi (Professor, Professor, Department Of Medical Epidemiology And Biostatistics, Karolinska Insitutet) Pawitan

~~187,91€~~ 169,12€ 10% OFF

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 In All Likelihood introduces the concept of likelihood as a powerful and unifying framework for statistical analysis. Aimed at making complex ideas accessible, it shows how likelihood helps in understanding and solving a wide range of real-world problems.
ENGLISH

Time Series - A Biostatistical Introduction

by Emanuele Giorgi e Peter Diggle

~~44,16€~~ 39,74€ 10% OFF

 Time series analysis is one of several branches of statistics whose practical importance has increased with the availability of powerful computational tools. Methodology that was originally developed for specialized applications, for example in finance or geophysics, is now widely available within general statistical packages. The second edition of Time Series: A Biostatistical Introduction is an introductory account of time series analysis, written from the perspective of applied statisticians whose interests lie primarily in the biomedical and health sciences. This edition has a stronger focus on substantive applications, in which each statistical analysis is directed at a specific research question. Separate chapters cover simple descriptive methods of analysis, including time-plots, smoothing, the correlogram and the periodogram; theory of stationary random processes; discrete-time models for single series; continuous-time models for single series; generalized linear models for time series of counts; models for replicated series; spectral analysis, and bivariate time series.The book is unique in its focus on biomedical and health science applications, which has been strengthened in this second edition. Nevertheless, the methods described are more widely applicable. It should be useful to teachers and students on masters-level degree courses in statistics, biostatistics and epidemiology, and to biomedical and health scientists with a knowledge of statistical methods at undergraduate level. Throughout, examples based on real datasets show a close interplay between statistical method and substantive science. This book will also describe the implementation of the methods in the R computing environment and provide access to R code and datasets.
ENGLISH

Time Series - A Biostatistical Introduction

by Dr Emanuele (Associate Professor In Biostatistics Lancaster University, Uk) Giorgi

~~135,19€~~ 121,67€ 10% OFF

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 A time series is a sequence of measurements on a process whose future behaviour cannot be predicted exactly from past and current observations. This book focuses on applications in the biomedical and health and sciences.
ENGLISH

Applied Smoothing Techniques For Data Analysis - The Kernel Approach With S-Plus Illustrations

by Adelchi Azzalini e Adrian W. Bowman

129,84€ + 10% CARD

 Describes the use of smoothing techniques in statistics, with an emphasis on applications. This book also makes extensive reference to S-Plus, as a computing environment in which examples can be explored. It provides S-Plus functions and example scripts to implement many of the techniques described.
ENGLISH

Principles Of Multivariate Analysis

by Wojtek Krzanowski

108,64€ + 10% CARD

 Multivariate analysis is necessary whenever more than one characteristic is observed on each individual under study. Applications arise in very many areas of study. This book provides a comprehensive introduction to available techniques for analysing date of this form. This edition includes a survey of developments in the subject.
ENGLISH

Statistical Evaluation Of Medical Tests For Classification And Prediction

by Margaret Sullivan Pepe

99,36€ + 10% CARD

 This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.
ENGLISH

Analysis Of Longitudinal Data

by Kung-Yee Liang, Patrick Heagerty, Peter Diggle e Scott Zeger

56,96€ + 10% CARD

 This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.
ENGLISH

Analysis Of Longitudinal Data

by Kung-Yee Liang, Patrick Heagerty, Peter Diggle e Scott Zeger

56,96€ + 10% CARD

 This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.
ENGLISH

Time Series Analysis By State Space Methods

by Siem Jan (Department Of Econometrics, Free University, Amsterdam) Koopman

168,98€ + 10% CARD

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 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.
ENGLISH

Modelling Frequency And Count Data

by J. K. Lindsey

56,96€ + 10% CARD

 Categorical data analysis is a special area of generalized linear models, which offers statistical applications in many disciplines. This text presents the models in a language which can be immediately applied in many modern statistical packages, such as GLIM, GENSTAT and S-Plus.
ENGLISH

Introduction To Model-Based Survey Sampling With Applications

by Ray Chambers e Robert Clark

82,14€ + 10% CARD

 This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.
ENGLISH

Time Series Analysis By State Space Methods

by James Durbin e Siem Jan Koopman

113,94€ + 10% CARD

 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.
ENGLISH

Time Series Analysis By State Space Methods

by James Durbin e Siem Jan Koopman

113,94€ + 10% CARD

 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.
ENGLISH

The Necessity Of Pragmatism - John Dewey'S Conception Of Philosophy

by R. W. Sleeper

33,79€ + 10% CARD

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 Investigates the most difficult and neglected aspects of Dewey's thought - his metaphysics and logic.
ENGLISH

The New Men Of Power - America'S Labor Leaders

by C. Wright Mills

28,38€ + 10% CARD

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 As the unions once again seek to play a decisive role in American life, this book probes into the structure and ideology of mid-twentieth-century trade unionism. It contains an introduction by historian Nelson Lichtenstein offering insight into the Millsian political world at the time he wrote the book.
ENGLISH

Bayesian Smoothing And Regression For Longitudinal, Spatial And Event History Data

by Ludwig (Department Of Statistics, Ludwig Maxmilians University, Munich, Germany) Fahrmeir e Thomas (Department Of Statistics, Ludwig Maxmilians University, Munich, Germany) Kneib

158,85€ + 10% CARD

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 Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry, development economics, medicine and marketing.
ENGLISH

Plots, Transformations, And Regression - An Introduction To Graphical Methods Of Diagnostic Regression Analysis

209,54€ + 10% CARD

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 An introduction and guide to using diagnostics as a practical part of regression analysis.
ENGLISH

Statistical Modelling In R

by Brian (Department Of Mathematics And Statistics, Lancaster University) Francis, John (Professor Of Statistics, School Of Mathematics, Statistics And Applied Mathematics, National University Of Ireland, Galway) Hinde, Murray (Professorial Fellow, Department Of Mathematics And Statistics, University Of Melbourne) Aitkin e Ross (Senior Applied Statistician, Csiro Mathematical And Information Sciences, Australia) Darnell

110,85€ + 10% CARD

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 A comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory.
ENGLISH

In All Likelihood - Statistical Modelling And Inference Using Likelihood

by Yudi (Professor, Professor, Department Of Medical Epidemiology And Biostatistics, Karolinska Insitutet) Pawitan

54,75€

free shipping

OUT OF STOCK OR NOT AVAILABLE

 In All Likelihood introduces the concept of likelihood as a powerful and unifying framework for statistical analysis. Aimed at making complex ideas accessible, it shows how likelihood helps in understanding and solving a wide range of real-world problems.
ENGLISH

Time Series: A Biostatistical Introduction

by Dr Emanuele (Associate Professor In Biostatistics Lancaster University, Uk) Giorgi

51,09€

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OUT OF STOCK OR NOT AVAILABLE

 A time series is a sequence of measurements on a process whose future behaviour cannot be predicted exactly from past and current observations. This book focuses on applications in the biomedical and health and sciences.
ENGLISH

The Maze Of Banking - History, Theory, Crisis

OUT OF STOCK OR NOT AVAILABLE

 Financial crises must be studied in the context of history. The Maze of Banking is a collection of academic papers by Gary Gorton---an expert on the financial crisis of 2007-2008---on the history and analysis of banks, banking, and financial crises spanning the past 175 years.
ENGLISH

Analysis Of Longitudinal Data

by Kung-Yee (Biostatistics Department, Johns Hopkins University) Liang, Patrick (Biostatistics Department University Of Washington) Heagerty e Scott (Biostatistics Department, Johns Hopkins University) Zeger

OUT OF STOCK OR NOT AVAILABLE

 This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.
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