| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISOBSOBE00067191 |
|
|
Autore |
*Italia |
|
|
Titolo |
Codice del diritto alimentare annotato con la giurisprudenza : aggiornato al 15 marzo 1990 / [a cura di] Gianclaudio Andreis, Giuseppe Bertolino, Neva Monari ; con la collaborazione di Rossella Gallio |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Collana |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Vol. 1.: Parte generale; Vol. 2.: Parte speciale A-L; Vol. 3.: Parte speciale M-Z |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910711949703321 |
|
|
Autore |
Milton Daniel J (Daniel James) |
|
|
Titolo |
The fight goes on : the Islamic State's continuing military efforts in liberated cities / / Daniel Milton Muhammad al-`Ubaydi |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
West Point, NY : , : Combating Terrorism Center at West Point, United States Military Academy, , 2017 |
|
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (IV, 16 pages) : color illustrations, color map |
|
|
|
|
|
|
Soggetti |
|
Tactics |
Guerrilla warfare - Iraq |
Guerrilla warfare - Syria |
Civil war - Iraq |
Syria History Civil War, 2011- |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references. |
|
|
|
|
|
|
|
|
|
|
|
|
|
3. |
Record Nr. |
UNINA9910778489603321 |
|
|
Autore |
Coene Frederik |
|
|
Titolo |
The Caucasus [[electronic resource] ] : an introduction / / Frederik Coene |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
New York ; ; Abingdon, Oxon, : Routledge, 2009 |
|
|
|
|
|
|
|
ISBN |
|
1-135-20302-4 |
1-282-31615-X |
1-78034-255-1 |
9786612316159 |
0-203-87071-9 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (255 p.) |
|
|
|
|
|
|
Collana |
|
Routledge Contemporary Russia and Eastern Europe Series ; ; v.v. 17 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Caucasus History |
Caucasus Description and travel |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
BOOK COVER; TITLE; COPYRIGHT; CONTENTS; ILLUSTRATIONS; FOREWORD; PREFACE; ACKNOWLEDGEMENTS; ABBREVIATIONS AND ACRONYMS; INTRODUCTION; 1 GEOGRAPHY; 2 TERRITORIAL DIVISION, GOVERNMENT AND ADMINISTRATION; 3 POPULATION AND SOCIETY; 4 HISTORY; 5 CONFLICTS; 6 INTERNATIONAL POLITICS; 7 ECONOMY; 8 CULTURE AND TRADITIONS; APPENDIX I: CONFUSING TERMS; APPENDIX II: POPULATION STATISTICS BY ETHNIC GROUP; NOTES; SUGGESTED READING; INDEX |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
The Caucasus is one of the most complicated regions in the world: with many different peoples and political units, differing religious allegiances, and frequent conflicts, and where historically major world powers have clashed with each other. Until now there has been no single book for those wishing to learn about this complex region. This book fills the gap, providing a clear, comprehensive introduction to the Caucasus, which is suitable for all readers. It covers the geography; the historical development of the region; economics; politics and government; population; religion and society; |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4. |
Record Nr. |
UNINA9910830016403321 |
|
|
Autore |
Pankratz Alan <1944-> |
|
|
Titolo |
Forecasting with univariate Box-Jenkins models [[electronic resource] ] : concepts and cases / / Alan Pankratz |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
ISBN |
|
1-282-30785-1 |
9786612307850 |
0-470-31656-X |
0-470-31727-2 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (587 p.) |
|
|
|
|
|
|
Collana |
|
Wiley series in probability and mathematical statistics. Probability and mathematical statistics., , 0271-6356 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Time-series analysis |
Prediction theory |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliography and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Forecasting With Univariate Box- Jenkins Models CONCEPTS AND CASES; CONTENTS; PART I. BASIC CONCEPTS; 1 Overview; 1.1 Planning and forecasting; 1.2 What this book is about; 1.3 Time-series data; 1.4 Single-series (univariate) analysis; 1.5 When may UBJ models be used?; 1.6 The Box-Jenkins modeling procedure; 1.7 UBJ models compared with other models; Summary; Questions and problems; 2 Introduction to Box-Jenkins analysis of a single data series; 2.1 Differencing; 2.2 Deviations from the mean |
2.3 Two analytical tools: the estimated autocorrelation function (acf) and estimated partial autocorrelation function (pacf)Summary; Questions and problems; 3 Underlying statistical principles; 3.1 Process, realization, and model; 3.2 Two common processes; 3.3 Statistical inference at the identification stage; Summary; Appendix 3 A: Expected value rules and definitions; Questions and problems; 4 An introduction to the practice of ARIMA modeling; 4.1 What is a good model?; 4.2 Two examples of UBJ-ARIMA modeling; Summary; Questions and problems; 5 Notation and the interpretation of ARIMA |
|
|
|
|
|
|
|
|
|
|
|
models |
5.1 Three processes and ARIMA (p,d,q) notation5.2 Backshift notation; 5.3 Interpreting ARIMA models I: optimal extrapolation of past values of a single series; 5.4 Interpreting ARIMA models II: rationalizing them from their context; 5.5 Interpreting ARIMA models III: ARIMA(O,d,q) models as exponentially weighted moving averages; Summary; Questions and problems; 6 Identification: stationary models; 6.1 Theoretical acfs and pacf's for five common processes; 6.2 Stationarity; 6.3 Invertibility; 6.4 Deriving theoretical acf's for the MA(1) process |
6.5 Deriving theoretical acf's for the AR(1) processSummary; Appendix 6A: The formal conditions for stationarity and invertibility; Appendix 6B Invertibility, uniqueness,and forecast performance; Questions and problems; 7 Identification: nonstationary models; 7.1 Nonstationary mean; 7.2 Nonstationary variance; 7.3 Differencing and deterministic trends; Summary; Appendix 7A: Integration; 8 Estimation; 8.1 Principles of estimation; 8.2 Nonlinear least-squares estimation; 8.3 Estimation-stage results: have we found a good model?; Summary; Appendix 8A: Marquardt's compromise; 8A.1 Overview |
8A.2 Application to an MA(1)Appendix 8B: Backcasting; 8B.1 Conditional least squares; 8B.2 Unconditional least squares; 9 Diagnostic checking; 9.1 Are the random shocks independent?; 9.2 Other diagnostic checks; 9.3 Reformulating a model; Summary; Questions and problems; 10 Forecasting; 10.1 The algebra of ARIMA forecasts; 10.2 The dispersion of ARIMA forecasts; 10.3 Forecasting from data in logarithmic form; 10.4 The optimality of ARIMA forecasts; Summary; Appendix 10A:The complementarity of ARIMA models and econometric models; Questions and problems; 11 Seasonal and other periodic models |
11.1 Periodic data |
|
|
|
|
|
|
Sommario/riassunto |
|
Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another. |
|
|
|
|
|
|
|
| |