1. Katalog książek
anglojęzycznych
statystyka matematyczna
Amerykańskie Towarzystwo Statystyczne ogłosiło rok 2013
Międzynarodowym Rokiem Statystyki. Ogólnoświatowa akcja
ma na celu uczczenie i docenienie osiągnięć nauk statystycznych.
Przyłączyliśmy się do akcji promując najważniejsze książki z tej
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Przeglądaj katalog z nowościami i najciekawszymi publikacjami.
Dowiedz się więcej na www.abe.pl/statystyka2013

2.
Statystyka matematyczna
2 www.abe.pl
A Brief Course in Mathematical
Statistics
9780131751392
30.12.2006
Oprawa: twarda
£ 61,99
Elliot A. Tanis
For a one-semester course in Mathematical Statistics. This innovative new
introduction to Mathematical Statistics covers the important concept of estimation at
a point much earlier than other texts (Chapter 2). Thought-provoking pedagogical
aids help students test their understanding and relate concepts to everyday life.
Ideal for courses that offer a little less probability than usual, this book requires one
year of calculus as a prerequisite.
Pearson Education
An Introduction to Mathematical
Statistics and Its Applications
9780321766564
17.12.2010
Oprawa: miękka
£ 66,99
Richard J. Larsen
Noted for its integration of real-world data and case studies, this text offers sound
coverage of the theoretical aspects of mathematical statistics. The authors
demonstrate how and when to use statistical methods, while reinforcing the calculus
that students have mastered in previous courses. Throughout theFifth Edition, the
authors have added and updated examples and case studies, while also refining
existing features that show a clear path from theory to practice.
Pearson Education
Antieigenvalue Analysis
9789814366281
27.12.2011
Oprawa: twarda
£ 59,00
Karl E. Gustafson
Karl Gustafson is the creator of the theory of antieigenvalue analysis. Its applications
spread through fields as diverse as numerical analysis, wavelets, statistics, quantum
mechanics, and finance. Antieigenvalue analysis, with its operator trigonometry, is a
unifying language which enables new and deeper geometrical understanding of
essentially every result in operator theory and matrix theory, together with their
applications. This book will open up its methods to a wide range of specialists.
World Scientific Publishing
Applied Functional Analysis
9781420091953
02.03.2010
Oprawa: twarda
£ 83,00
J. Tinsley Oden
Through numerous illustrative examples and comments, Applied Functional
Analysis, Second Edition demonstrates the rigor of logic and systematic,
mathematical thinking. It presents the mathematical foundations that lead to
classical results in functional analysis. More specifically, the text prepares students
to learn the variational theory of partial differential equations, distributions and
Sobolev spaces, and numerical analysis with an emphasis on finite element
methods. While retaining the structure of its best-selling predecessor, this second
edition includes revisions of many original examples, along with new examples that
often reflect the authors' own vast research experiences and perspectives. This
edition also provides many more exercises as well as a solutions manual for
qualifying instructors. Each chapter begins with an extensive introduction and
concludes with a summary and historical comments that frequently refer to other
sources.
Taylor & Francis
Basic Practice of Statistics
9781464117664
27.06.2012
Oprawa: twarda
£ 53,99
David S. Moore
The Basic Practice of Statistics (BPS) is designed to give a working knowledge of
the ideas and tools of practical statistics. Through accessible language and
engaging examples and exercises based on real data, BPS explains both the
mechanics and the concepts needed for statistical work. The Sixth Edition maintains
the textbook's focus on statistical reasoning and real-life situations and data, while
updating the organisation, exercises and examples to better reflect the needs and
experiences of today's student. Here are a few highlights of the revised Sixth
Edition: Updated Exercises and Examples: More than 20 percent of all examples
and exercises have been revised or updated. Contemporary situations and up-to-
date data cover a number of fields, including environmental studies, agriculture,
business and finance, technology, biology, psychology, health and medicine,
education, sports, and entertainment. New examples and exercises draw on topics
such as texting while driving, CO2 emissions, the Gulf oil spill, and how weather
influences tipping.
Palgrave MacMillan
Foundations of Statistical Algorithms
9781439878859
05.12.2013
Oprawa: twarda
£ 38,99
Claus Weihs
Reviewing the historical development of basic algorithms to illuminate the evolution
of today’s more powerful statistical algorithms, this comprehensive textbook
emphasizes recurring themes in all statistical algorithms including computation,
assessment and verification, iteration, intuition, randomness, repetition and
parallelization, and scalability. Unique in scope, it touches on topics not usually
covered in similar books, namely, systematic verification and the scaling of many
established techniques to very large databases. Broadly accessible, it offers
examples, exercises, and selected solutions in each chapter as well as access to a
supplementary website.
Taylor & Francis

3.
Statystyka matematyczna
www.abe.pl 3
Introduction to Mathematical Statistics
9780321824677
02.01.2012
Oprawa: miękka
£ 55,99
Robert V. Hogg
Introduction to Mathematical Statistics, Seventh Edition, offers a proven approach
designed to provide you with an excellent foundation in mathematical statistics.
Ample examples and exercises throughout the text illustrate concepts to help you
gain a solid understanding of the material.
Pearson Education
Introduction to Partial Differential Equations for
Scientists and Engineers Using Mathematica
9781466510562
05.08.2013
Oprawa: twarda
£ 57,99
Kuzman Adzievski
With a special emphasis on engineering and science applications, this textbook
provides a mathematical introduction to PDEs at the undergraduate level. It takes a
new approach to PDEs by presenting computation as an integral part of the study of
differential equations. The authors use Mathematica(R) along with graphics to
improve understanding and interpretation of concepts. They also present exercises
in each chapter and solutions to selected examples. Topics discussed include
Laplace and Fourier transforms as well as Sturm-Liouville boundary value problems.
Taylor & Francis
Linear Algebra and Matrix
Computations for Statistics
9781420095388
06.10.2013
Oprawa: twarda
£ 49,99
Sudipto Banerjee
Linear algebra and the study of matrix algorithms have become fundamental to the
development of statistical models. Using a vector-space approach, this book
provides an understanding of the major concepts that underlie linear algebra and
matrix analysis. Each chapter introduces a key topic, such as infinite-dimensional
spaces, and provides illustrative examples. The authors examine recent
developments in diverse fields such as spatial statistics, machine learning, data
mining, and social network analysis. Complete in its coverage and accessible to
students without prior knowledge of linear algebra, the text also includes results that
are useful for traditional statistical applications.
Taylor & Francis
Mathematical Statistics with
Resampling and R
9781118029855
12.08.2011
Oprawa: twarda
£ 86,95
Laura M. Chihara
Resampling helps students understand the meaning of sampling distributions,
sampling variability, P-values, hypothesis tests, and confidence intervals. This
groundbreaking book shows how to apply modern resampling techniques to
mathematical statistics. Extensively class-tested to ensure an accessible
presentation, Mathematical Statistics with Resampling and R utilizes the powerful
and flexible computer language R to underscore the significance and benefits of
modern resampling techniques.
The book begins by introducing permutation tests and bootstrap methods,
motivating classical inference methods. Striking a balance between theory,
computing, and applications, the authors explore additional topics such as:
Exploratory data analysis
Calculation of sampling distributions
The Central Limit Theorem
Monte Carlo sampling
Wiley
Methods of Multivariate Analysis
9780470178966
27.07.2012
Oprawa: twarda
£ 86,95
Alvin C. Rencher
Filled with new and timely content, Methods of Multivariate Analysis, Third Edition
provides examples and exercises based on more than sixty real data sets from a
wide variety of scientific fields. It takes a "methods" approach to the subject, placing
an emphasis on how students and practitioners can employ multivariate analysis in
real-life situations.
This Third Edition continues to explore the key descriptive and inferential procedures
that result from multivariate analysis. Following a brief overview of the topic, the
book goes on to review the fundamentals of matrix algebra, sampling from
multivariate populations, and the extension of common univariate statistical
procedures (including t-tests, analysis of variance, and multiple regression) to
analogous multivariate techniques that involve several dependent variables. The
latter half of the book describes statistical tools that are uniquely multivariate in
nature, including procedures for discriminating among groups, characterizing low-
dimensional latent structure in high-dimensional data, identifying clusters in data,
and graphically illustrating relationships in low-dimensional space.
Wiley
Modern Mathematical Statistics with
Applications
9781461403906
08.12.2011
Oprawa: twarda
€ 99,95
Jay L. Devore
Many mathematical statistics texts are heavily oriented toward a rigorous
mathematical development of probability and statistics, without much attention paid
to how statistics is actually used. In contrast, Modern Mathematical Statistics with
Applications, Second Edition strikes a balance between mathematical foundations
and statistical practice. In keeping with the recommendation that every math
student should study statistics and probability with an emphasis on data analysis,
accomplished authors Jay Devore and Kenneth Berk make statistical concepts and
methods clear and relevant through careful explanations and a broad range of
applications involving real data. The main focus of the book is on presenting and
illustrating methods of inferential statistics that are useful in research. It begins with
a chapter on descriptive statistics that immediately exposes the reader to real data.
The next six chapters develop the probability material that bridges the gap between
descriptive and inferential statistics. Point estimation, inferences based on statistical
intervals, and hypothesis testing are then introduced in the next three chapters.
Springer

4.
Statystyka matematyczna
4 www.abe.pl
Nonparametric Tests
9781848212695
07.12.2010
Oprawa: twarda
£ 96,95
Vilijandas Bagdonavieus
This book concerns testing hypotheses in non-parametric models. Classical non-
parametric tests (goodness-of-fit, homogeneity, randomness, independence) of
complete data are considered. Most of the test results are proved and real
applications are illustrated using examples. Theories and exercises are provided.
The incorrect use of many tests applying most statistical software is highlighted and
discussed.
Wiley
Probability, Statistics, and Stochastic
Processes
9780470889749
08.06.2012
Oprawa: twarda
£ 83,5
Peter Olofsson
Thoroughly updated to showcase the interrelationships between probability,
statistics, and stochastic processes, Probability, Statistics, and Stochastic
Processes, Second Edition prepares readers to collect, analyze, and characterize
data in their chosen fields.
Beginning with three chapters that develop probability theory and introduce the
axioms of probability, random variables, and joint distributions, the book goes on to
present limit theorems and simulation. The authors combine a rigorous, calculus-
based development of theory with an intuitive approach that appeals to readers'
sense of reason and logic. Including more than 400 examples that help illustrate
concepts and theory, the Second Edition features new material on statistical
inference and a wealth of newly added topics, including:
Consistency of point estimators
Large sample theory
Bootstrap simulation
Wiley
Sequential Analysis: Hypothesis Testing
and Change-Point Detection
9781439838204
18.12.2013
Oprawa: twarda
£ 63,99
Michele Basseville
This book presents an overview of the theory and applications of sequential
methods for hypothesis testing and changepoint detection in a wide range of
engineering and environmental domains. It describes all the important theoretical
developments with an emphasis on applications, including environmental
surveillance, biomedical engineering, image processing, computer security,
econometrics, and finance. The text covers more practical discrete-time models as
well as very general cases that include both continuous- and discrete-time models.
In addition, it presents the results for multi-hypothesis tests and detection-isolation
procedures.
Taylor & Francis
Some Recent Advances in Mathematics
and Statistics
9789814417976
05.05.2013
Oprawa: twarda
£ 63,00
Yogendra P. Chaubey
This volume consists of a series of research papers presented at the conference
Statistics 2011 Canada: 5th Canadian Conference in Applied Statistics held together
with the 20th conference of the Forum for Interdisciplinary Mathematics titled,
"Interdisciplinary Mathematical & Statistical Techniques". These papers cover a wide
range of topics from applications of Mathematics and Statistics such as Selection
Bias in Surveys, Biomarker Discovery, Analysis of Earth Temperature, Supply Chain
Management, Trimmed ANOVA, Zero-inflated Data, Non-Gaussian Time Series, and
Stochastic Ordering; Classification, Nonparametric Test, and Jackknifed Ridge
Estimator; Bayes Factor; Random Graphs and Error Correcting Codes; Meta
Analysis; and National Health Plans and Risk Reduction through Supply Chain. The
topics have been reviewed by experts in the field and the selected papers are
expected to provide a topical resource on the subjects concerned.
World Scientific Publishing
Statistical Inference: A Short Course
9781118229408
26.07.2012
Oprawa: twarda
£ 76,95
Michael J. Panik
tatistical Inference: A Short Course offers a concise presentation of the essentials of
basic statistics for readers seeking to acquire a working knowledge of statistical
concepts, measures, and procedures.
The author conducts tests on the assumption of randomness and normality,
provides nonparametric methods when parametric approaches might not work. The
book also explores how to determine a confidence interval for a population median
while also providing coverage of ratio estimation, randomness, and causality. To
ensure a thorough understanding of all key concepts, Statistical Inference provides
numerous examples and solutions along with complete and precise answers to
many fundamental questions, including:
How do we determine that a given dataset is actually a random sample?
With what level of precision and reliability can a population sample be estimated?
How are probabilities determined and are they the same thing as odds?
How can we predict the level of one variable from that of another?
Wiley
Statistical Methods for Stochastic
Differential Equations
9781439849408
18.05.2012
Oprawa: twarda
£ 63,99
Mathieu Kessler
The seventh volume in the SemStat series, Statistical Methods for Stochastic
Differential Equations presents current research trends and recent developments in
statistical methods for stochastic differential equations. Written to be accessible to
both new students and seasoned researchers, each self-contained chapter starts
with introductions to the topic at hand and builds gradually towards discussing
recent research. The book covers Wiener-driven equations as well as stochastic
differential equations with jumps, including continuous-time ARMA processes and
COGARCH processes. It presents a spectrum of estimation methods, including
nonparametric estimation as well as parametric estimation based on likelihood
methods, estimating functions, and simulation techniques. Two chapters are
devoted to high-frequency data. Multivariate models are also considered, including
partially observed systems, asynchronous sampling, tests for simultaneous jumps,
and multiscale diffusions.
Taylor & Francis

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