Standaard Boekhandel gebruikt cookies en gelijkaardige technologieën om de website goed te laten werken en je een betere surfervaring te bezorgen.
Hieronder kan je kiezen welke cookies je wilt inschakelen:
Technische en functionele cookies
Deze cookies zijn essentieel om de website goed te laten functioneren, en laten je toe om bijvoorbeeld in te loggen. Je kan deze cookies niet uitschakelen.
Analytische cookies
Deze cookies verzamelen anonieme informatie over het gebruik van onze website. Op die manier kunnen we de website beter afstemmen op de behoeften van de gebruikers.
Marketingcookies
Deze cookies delen je gedrag op onze website met externe partijen, zodat je op externe platformen relevantere advertenties van Standaard Boekhandel te zien krijgt.
Je kan maximaal 250 producten tegelijk aan je winkelmandje toevoegen. Verwijdere enkele producten uit je winkelmandje, of splits je bestelling op in meerdere bestellingen.
Focusing on Bayesian approaches and computations using simulation-based methods for inference, Time Series: Modeling, Computation, and Inference integ...Lees meer
Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying idea...Lees meer
Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition...Lees meer
A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and an...Lees meer
A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivati...Lees meer
Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inferen...Lees meer
Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both ...Lees meer
This book brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, it is an ideal resource for advanc...Lees meer
In recent years, applications of advanced stochastic processes have expanded greatly. Intended for students taking a second course in stochastic proce...Lees meer
This book is a first course in probability and statistics using R. The book assumes a mathematical background of Calculus II, though much of the book ...Lees meer
This second edition features several new topics that are extremely relevant to the current research in statistical methodology. Revised or expanded to...Lees meer
The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides comprehensiv...Lees meer
Sampling methods are integral to the design of surveys and experiments, to the validity of results, and thus to the study of statistics, social scienc...Lees meer
Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of di...Lees meer
Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the aut...Lees meer
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (2nd edition) presents an updated introduction to linear modeling using the...Lees meer
Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggesti...Lees meer
Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical ...Lees meer
A culmination of the author's many years of consulting and teaching, Design and Analysis of Experiments with SAS provides practical guidance on the co...Lees meer
Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an...Lees meer
This is a textbook for an undergraduate course in statistics for engineers with a minimal calculus prerequisite. The second edition differs from exist...Lees meer
A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author w...Lees meer
While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and appli...Lees meer
Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based ...Lees meer