Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life histor.
Sara Richard
Richard Baxstrom
Williams, Richard
Richard M. Saunders
Wilson, Richard
Richard Chalfen
Richard L. M. Byers
Janet Stevens Cook
Meet skyy, a fantastic new superhero—and sensitive assassin—who defends the helpless and brings justice to those who cannot fight for themselves.
Richard Skolnik
Richard Heller
Richard Dutton
Richard Byers
Vera Jane Cook
Richard Laymon
Allen, Richard C.
Exploring the emigration to colonial pennsylvania of welsh members of the religious society of friends (quakers), this book appraises their experiences during a period of unparalleled change.
Richard Purden
Following on from we are celtic supporters, richard purden tackles a variety of subjects in his second book faithful through and through.
Richard Overy
Richard Whitney
Richard Tregaskis
Richard Pratt
Richard Dean Smith
Lorna Cook
Richard T. Harrison
This re-evaluation of the role of regional policy in the uk has been accompanied by a much closer identification of regional policy with national economic policymaking.
Richard Platt
Richard Common
Richard Skinner
Shannon Richard
Richard Owusu-Apenten
Doubling in size from its first edition, introduction to food chemistry provides a simple, yet comprehensive, treatment of food chemistry suited to undergraduate courses.
Richard Read
Richard Bauman
Richard Bradford
Richard Lange
Richard Soare
Richard Read
Richard J. R. Kirkby
Alfonso Richard Guerrero
Richard C. Larock
Richard Talbert
Richard R. Wilk
Richard Joyce
Kevin Cook
Richard Cowdrey
Daniel Cook
Kevin Cook
Richard Holmes
Richard Andrews
Elisabeth Cook
Richard Milward
Richard Golden
The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies.
Richard T. Harrison
Richard Durrett
This text focuses on the parts of stochastic theory that are particularly relevant to applications.
Richard Estep
David Chan
Robert Andersen
Presenting statistical results effectively provides an overview on the key methods for analysing advanced statistical data and then systematically tackles the topic of how to effectively present results from statistical models.
Craig K. Enders
Howard Tokunaga
W. Holmes Finch
John Harner
Although the goals and procedures of statistical research have changed little since the third edition of statistics for research (by dowdy) was published, the almost universal availability of personal computers and statistical computing application packag.
Charlotte Brookfield
Providing step-by-step instructions for how to use microsoft excel for doing statistics, charlotte brookfield discusses different stages of the research process, from first planning to writing and presenting your research.
Leopold Ringel
Valen E. Johnson
Ronald H. Heck
Reinhard Friedl
Howard T. Tokunaga
Sir Arthur Newsholme
Göran Broström
Engelhard, George, Jr.
Elizabeth Shanahan
Steven R. Terrell
Richard R. Verdugo
Dariusz Jacek Jakóbczak
Narayanaswamy Balakrishnan
The reference guide for statistical concepts, definitions, and terminology provides students, researchers and practitioners with an accessible, definitive, and a to z resource to use when studying statistics in the social, life, and engineering sci.
Douglas A. Lind
Débora B. Maehler
Sandra Arlinghaus
The guidance and special techniques provided in this handbook will allow you to understand and use complex spatial statistical techniques.
Nalini Ravishanker
John C. H. Stillwell
Haydn Aarons
Tze-San Lee
The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book.
Ranjan Kumar Som
Second edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data.
Andreas Klärner
Kimmo Vehkalahti
Ben Lindbergh
Jared Diamond
Arijit Chaudhuri
Victor M. Panaretos
Nalini Ravishanker
Annpey Pong
In response to the us fda's critical path initiative, innovative adaptive designs are being used more and more in clinical trials due to their flexibility and efficiency, especially during early phase development.
Martin J. Osborne
Wenzhong Shi
When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (gisci) is the new kid on the block.
José E. Chacón
Kernel smoothing has greatly evolved since its inception to become an essential methodology in the data science tool kit for the 21st century.
Julie Pallant
The spss survival manual throws a lifeline to students and researchers grappling with this powerful data analysis software.
National Academies of Sciences, Engineering, and Medicine
Luis Avilés Vera
Thomas Lawson
Using real social work examples written specifically to ally student fears research and statistics for social workers brings research and statistics together bridging the gap to practice.
Dewey Clark
Murray Aitkin
Chaitra H. Nagaraja
Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us.
Donald Davis
Alan M. Polansky
Christopher Hay-Jahans
The r companion to elementary applied statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used .
Mónica Bécue-Bertaut
Textual statistics with r comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in r.
Stuart A. Klugman
Loss models: from data to decisions, fifth edition continues to supply actuaries with a practical approach to the key concepts and techniques needed on the job.
Tommy Bengtsson
Taylor Arnold
A computational approach to statistical learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods.
Mary Hancock
Education Department
Michael Baron
Praise for the second edition: "the author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter...
Raphael Vogel
Jan Zalasiewicz