Theoriae causalitatis principia mathematica
Theoriae causalitatis principia mathematica

Author: Ilija Barukcic

Publisher: BoD – Books on Demand

Published: 2021-08-03

Total Pages: 494

ISBN-13: 3754331345

DOWNLOAD EBOOK

This is the second edition of my book Theoriae causalitatis principia mathematica. It is an excellent book for self-study and a pragmatic help for researchers too. The formal proofs, a lot of exercises and figures plus unusually detailed solutions will help the reader, especially in medical and other biosciences. This book is designed to provide both, a new mathematical methodology for making causal inferences from experimental and nonexperimental data and the underlying (philosophical) theory. This monograph will continue to be of great importance, the reader will enjoy reading this book.

Theoriae causalitatis principia mathematica
Theoriae causalitatis principia mathematica

Author: Ilija Barukcic

Publisher: BoD – Books on Demand

Published: 2017-11-09

Total Pages: 246

ISBN-13: 3744815935

DOWNLOAD EBOOK

Theoriae causalitatis principia mathematica is an excellent book for self-study and a pragmatic help for researchers too. The formal proofs, a lot of exercises and figures plus unusually detailed solutions will help the reader, especially in medical and other biosciences. This book is designed to provide both, a new mathematical methodology for making causal inferences from experimental and nonexperimental data and the underlying (philosophical) theory. This monograph will continue to be of great importance, the reader will enjoy reading this book.

Kant ́s Notion of a TranscendentalSchema
Kant ́s Notion of a TranscendentalSchema

Author: Lara Scaglia

Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften

Published: 2020-04-02

Total Pages: 294

ISBN-13: 9783631804384

DOWNLOAD EBOOK

The book provides a critical and historical inquiry into Kant's schematism chapter. It focuses on the meanings of the notion of schema before Kant, the precritical meaning of this notion, an analysis of the schematism chapter and its criticisms, and an overview of the legacy of Kant's schematism in philosophy and psychology.

The Pythagorean Theorem
The Pythagorean Theorem

Author: Eli Maor

Publisher: Princeton University Press

Published: 2019-11-19

Total Pages: 284

ISBN-13: 0691196885

DOWNLOAD EBOOK

Frontmatter --Contents --List of Color Plates --Preface --Prologue: Cambridge, England, 1993 --1. Mesopotamia, 1800 BCE --Sidebar 1: Did the Egyptians Know It? --2. Pythagoras --3. Euclid's Elements --Sidebar 2: The Pythagorean Theorem in Art, Poetry, and Prose --4. Archimedes --5. Translators and Commentators, 500-1500 CE --6. François Viète Makes History --7. From the Infinite to the Infinitesimal --Sidebar 3: A Remarkable Formula by Euler --8. 371 Proofs, and Then Some --Sidebar 4: The Folding Bag --Sidebar 5: Einstein Meets Pythagoras --Sidebar 6: A Most Unusual Proof --9. A Theme and Variations --Sidebar 7: A Pythagorean Curiosity --Sidebar 8: A Case of Overuse --10. Strange Coordinates --11. Notation, Notation, Notation --12. From Flat Space to Curved Spacetime --Sidebar 9: A Case of Misuse --13. Prelude to Relativity --14. From Bern to Berlin, 1905-1915 --Sidebar 10: Four Pythagorean Brainteasers --15. But Is It Universal? --16. Afterthoughts --Epilogue: Samos, 2005 --Appendixes --Chronology --Bibliography --Illustrations Credits --Index.

Causality I. A Theory of Energy, Time and Space
Causality I. A Theory of Energy, Time and Space

Author: Ilija Baruk?i?

Publisher: Lulu.com

Published: 2008-11-07

Total Pages: 650

ISBN-13: 1409229521

DOWNLOAD EBOOK

---------- Volume 1 (August 21th, 2010) ---------- : This highly original book gives an exact insight into the philosophical, logical, mathematical and physical foundations of causality. Causality is designed to provide both, the new methodology for making causal inferences on the basis of (non-) experimental data and the underlying theory. The new mathematical tools for evaluating causal relationships from (non-) experimental data are presented in the simplest and most intelligible form. Causality is thus an excellent book for self study and a pragmatic help for researchers. Anyone who wishes to elucidate cause effect relationships from (non-) experimental data will find this book invaluable. The reader will enjoy to read and use this book. Finally, a unified mathematical and statistical model of causation is available.