This computational aerodynamics textbook is written at the undergraduate level, based on years of teaching focused on developing the engineering skills required to become an...
This is a selfcontained introductory textbook on the calculus of differential forms and modern differential geometry. The intended audience is physicists, so the author emphasises...
This is a selfcontained introductory textbook on the calculus of differential forms and modern differential geometry. The intended audience is physicists, so the author emphasises...
Completely revised and updated, this new edition of the popular and highly regarded textbook, Applied Geophysics, describes the physical methods involved in exploration for hydrocarbons...
The Stanford Geostatistical Modeling Software (SGeMS) is an opensource computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a userfriendly...
Typical Texts Develop Students Knowledge While Only Minimally Developing The General Skills They Will Need For Success In School And In Life. The Goal Of...
Typical texts develop students knowledge while only minimally developing the general skills they will need for success in school and in life. The goal of...
This textbook offers a complete course in applied macroeconomics at the intermediate level that emphasizes the application of economic theory to realworld data and policy....
This study introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field...
This study introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field...
There is a growing theoretical and practical interest in the topic of metacognition: how mental processses are monitored and controlled. This study overviews the relationship...
This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model...
The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the...
The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignores the problems...
Written in a unique style, this book is a valuable resource for faculty, graduate students, and researchers in the communications and networking area whose work...
Palaeontology has developed from a descriptive science to an analytical science used to interpret relationships between earth and life history. This book highlights its key...
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This computational aerodynamics textbook is written at the undergraduate level, based on years of teaching focused on developing the engineering skills required to become an...
This is a selfcontained introductory textbook on the calculus of differential forms and modern differential geometry. The intended audience is physicists, so the author emphasises...
This is a selfcontained introductory textbook on the calculus of differential forms and modern differential geometry. The intended audience is physicists, so the author emphasises...
Completely revised and updated, this new edition of the popular and highly regarded textbook, Applied Geophysics, describes the physical methods involved in exploration for hydrocarbons...
The Stanford Geostatistical Modeling Software (SGeMS) is an opensource computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a userfriendly...
Typical Texts Develop Students Knowledge While Only Minimally Developing The General Skills They Will Need For Success In School And In Life. The Goal Of...
Typical texts develop students knowledge while only minimally developing the general skills they will need for success in school and in life. The goal of...
This textbook offers a complete course in applied macroeconomics at the intermediate level that emphasizes the application of economic theory to realworld data and policy....
This study introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field...
This study introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field...
There is a growing theoretical and practical interest in the topic of metacognition: how mental processses are monitored and controlled. This study overviews the relationship...
This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model...
The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the...
The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignores the problems...
Written in a unique style, this book is a valuable resource for faculty, graduate students, and researchers in the communications and networking area whose work...
Palaeontology has developed from a descriptive science to an analytical science used to interpret relationships between earth and life history. This book highlights its key...
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