Chungliang Al Al Huang
Jung Yun
S. L. Huang
Vivian L. Huang
Yu-Hsuan Huang
Su-Min Yu
Yun Xiao
Shuo Huang
Weijia Huang
Pauline Huang
Yanzhong Huang
Su Boddie
Yun Feng
Yun Hai LLC
Megan Huang
Weidong Huang
Chunhua Huang
Lianjie Huang
This monograph covers the state-of-the-art geophysical techniques for monitoring co2 storage within subsurface geologic formations, such as oil fields, gas fields, saline formations, unmineable coal seams, and saline-filled basalt formations.
Weijia Huang
Chu-Ren Huang
Shuo Huang
Vivian L. Huang
J. H. Huang
Kexin Su
Chin-Hao Huang
Yingwei Huang
Yunte Huang
Yang Yun
Christopher Huang
Kexin Su
Lianjie Huang
Chin-Hao Huang
Jessica Yun
Kama Huang
Nicholas Huang
Phyllis Yu-ting Huang
Yun Xiao
Weidong Huang
Erin Yun
Xiaoxia Huang
Kuo-Wei Huang
Weijia Huang
Su Gerheim
Yun Hai LLC
Yu-Hsuan Huang
Jessica Yun
Haiping Huang
Futao Huang
Ana Huang
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.
Susan J. Pearson
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.
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
Bhisham C. Gupta
Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientistsaimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a.
Lancashire Parish Register Society Staff
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.
Richard J. Cook
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.
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
Aviva Petrie
Now in its fourth edition, medical statistics at a glance is a concise and accessible introduction to this complex subject.
B. L. S. Prakasa Rao
Statistical inference carries great significance in model building from both the theoretical and the applications points of view.
Daniel Griffith
Spatial regression analysis using eigenvector spatial filtering provides theoretical foundations and guides practical implementation of the moran eigenvector spatial filtering (mesf) technique.
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