Brian Levin
Jack A. Levin
Jack A. Levin
Janna Levin
Victor Alan Levin
Ayala Levin
Nancy Levin
Danna A. Levin Rojo
Freddie Levin
Ben Levin
Alan S. Levin
Adam Levin
Alan S. Levin
Ben Levin
Al Levin
Abba Levin
Jonathan Levin
Carole Levin
Cynthia Changyit Levin
Cynthia Changyit Levin
Erica Levin
Meike Levin-Keitel
Erica Levin
Ben Levin
Janet Levin
Angela Levin
Dana Levin
Michael Levin
Janet Levin
Daniel Levin Becker
Sarah Levin Allen
Daniel Levin
Kevin M. Levin
Adam Levin
Jack E. Levin
Levin Keller
Max Levin
Levin, Boris
The book comprises a new method of solving the integral equation of leontovich, the most rigorous and most effective equation for the current in thin linear antennas.
Daniel Levin
Aviva Haber Levin
Hermann Levin Goldschmidt
Charles Levin
Max Levin
Adolf Levin
M. A. Levin
Charles Levin
Daniel Barban Levin
Shaun Levin
Levin Aurel
Jason Levin
Harry 1912- Levin
Jason Levin
Levin Schücking
Rachel Levin
Lee Fawcett
Alastair H. Leyland
This open access book is a practical introduction to multilevel modelling or multilevel analysis (mla) – a statistical technique being increasingly used in public health and health services research.
Victor M. Panaretos
Balakrishnan
This book highlights various theoretical developments on logistic distribution, illustrates the practical utility of these results, and describes univariate and multivariate generalizations of the distribution.
Nuno Crato
Zaven A. Karian
Sylvia Fruhwirth-Schnatter
Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool.
Kai Wang Fang
Since the publication of the by now classical johnson and kotz continuous multivariate distributions (wiley, 1972) there have been substantial developments in multivariate distribution theory especially in the area of non-normal symmetric multivariate dis.
Vinay Ambegaokar
Masafumi Akahira
Mohammad Ahsanullah
Tore Schweder
This lively book lays out a methodology of confidence distributions and puts them through their paces.
K. Krishnamoorthy
Easy-to-use reference and software for statistical modeling and testinghandbook of statistical distributions with applications, second edition provides quick access to common and specialized probability distributions for modeling practical problems and pe.
Francois Longin
A guide to the growing importance of extreme value risk theory, methods, and applications in the financial sectorpresenting a uniquely accessible guide, extreme events in finance: a handbook of extreme value theory and its applicatio.
Steven J. Miller
Contrary to common intuition that all digits should occur randomly with equal chances in real data, empirical examinations consistently show that not all digits are created equal, but rather that low digits such as {1, 2, 3} occur much more frequently tha.
Arno Berger
Hanna Birke
Model-based recursive partitioning (mob) provides a powerful synthesis between machine-learning inspired recursive partitioning methods and regression models.
Victor Leiva
Mario Chavez
Christopher Gandrud
Bringing together computational research tools in one accessible source, reproducible research with r and rstudio guides you in creating dynamic and highly reproducible research.
Alexander D. Poularikas
In the fourth edition of adaptive filtering: algorithms and practical implementation, author paulo s.
Oscar Perpinan Lamigueiro
Code and methods for creating high-quality data graphicsa data graphic is not only a static image, but it also tells a story about the data.
Sadanori Konishi
Randal Douc
Jin-Ting Zhang
Despite research interest in functional data analysis in the last three decades, few books are available on the subject.
Patrick Laurie Davies
Peter Kritzer
This book is summarizing the results of the workshop "uniform distribution and quasi-monte carlo methods" of the ricam special semester on "applications of algebra and number theory" in october 2013.
Claudio Carini
The future of clinical research and health care: from empirical to precision medicineclinical and statistical considerations in personalized medicine explores recent advances related to biomarkers and their translation into.
Jerald F. Lawless
Commissioned by the statistical society of canada (ssc), statistics in action: a canadian outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics.
Francesco Bartolucci
Drawing on the authors' extensive research in the analysis of categorical longitudinal data, latent markov models for longitudinal data focuses on the formulation of latent markov models and the practical use of these models.
Oswaldo L.V. Costa
It has been widely recognized nowadays the importance of introducing mathematical models that take into account possible sudden changes in the dynamical behavior of a high-integrity systems or a safety-critical system.
Allan Gut
This volume provides readers with a thorough body of basic results and minor extensions with references for more extended material..
Alexander R. De Leon
C˘alin Vamos¸
Ger Snijkers
"designing and conducting business surveys "provides a coherent overview of the business survey process, from start to finish.
Julien Barral
Gerrit Dijk
In this comprehensive monograph, the authors apply modern mathematical methods to the study of mechanical and physical phenomena or techniques in acoustics, optics, and electrostatics, where classical mathematical tools fail.
Alexandr A. Borovkov
Albert N. Shiryaev
Aniello Amendola
Siméon-Denis Poisson
Göran Högnäs
Hyeong Soo Chang
Markov decision process (mdp) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.
Gilles Zumbach
Most financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world.
Matthias Dehmer
Explore the multidisciplinary nature of complex networks through machine learning techniques"statistical and machine learning approaches for network analysis" provides an accessible framework for structurally analyzing graphs by bringing toget.
V. Pisarenko
Mathematically, natural disasters of all types are characterized by heavy tailed distributions.
Peter Bajorski
Sergej B. Kuksin
This book is dedicated to the mathematical study of two-dimensional statistical hydrodynamics and turbulence, described by the 2d navier stokes system with a random force.
Mohamed Medhat Gaber
Thomas W. O'Gorman
"this book concerns adaptive tests of significance, which are statistical tests that use the data to modify the test procedures"--.
Adam B. Levy
stationarity and convergence in reduce-or-retreat minimization presents and analyzes a unifying framework for a wide variety of numerical methods in optimization.
Rafail Khasminskii