Книги жанра математика
High response rates have traditionally been considered as one of the main indicators of survey quality. Obtaining high response rates is sometimes difficult and expensive, but clearly plays a beneficial role in terms of improving data quality. It is becoming increasingly clear, however, that simply boosting response to achieve a higher response rate will not in itself eradicate nonresponse bias. I…
Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potentia…
Statistical methodology plays a key role in ensuring that DNA evidence is collected, interpreted, analyzed and presented correctly. With the recent advances in computer technology, this methodology is more complex than ever before. There are a growing number of books in the area but none are devoted to the computational analysis of evidence. This book presents the methodology of statistical DNA fo…
This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between eng…
This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between eng…
This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between eng…
This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between eng…
Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling. The main emphasis is on the fractional polynomial method for modeling the influence of continuous variables in a multivariable context, a topic for which…
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundam…
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundam…
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundam…
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications – such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition – require robust and efficient pattern recognition techniques. Statistical decision making and estimation are regarded as fundam…
There is an increasing need to rein in the cost of scientific study without sacrificing accuracy in statistical inference. Optimal design is the judicious allocation of resources to achieve the objectives of studies using minimal cost via careful statistical planning. Researchers and practitioners in various fields of applied science are now beginning to recognize the advantages and potential of o…
Generalised Least Squares adopts a concise and mathematically rigorous approach. It will provide an up-to-date self-contained introduction to the unified theory of generalized least squares estimations, adopting a concise and mathematically rigorous approach. The book covers in depth the 'lower and upper bounds approach', pioneered by the first author, which is widely regarded as a very powerful a…
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference «A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis.» –Statistics in Medicine on Categorical Data Analysis, First Edition The use of statistical…