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1. |
Record Nr. |
UNINA9910451686603321 |
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Titolo |
Design and analysis of ecological experiments [[electronic resource] /] / edited by Samuel M. Scheiner and Jessica Gurevitch |
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Pubbl/distr/stampa |
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Oxford ; ; New York, : Oxford University Press, 2001 |
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ISBN |
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1-280-53066-9 |
9786610530663 |
0-19-803022-3 |
1-4294-0174-5 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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Altri autori (Persone) |
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ScheinerSamuel M. <1956-> |
GurevitchJessica |
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Disciplina |
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Soggetti |
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Ecology - Statistical methods |
Experimental design |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references (p. 371-401). |
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Nota di contenuto |
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Contents; Contributors; 1 Theories, Hypotheses, and Statistics; 2 Power Analysis and Experimental Design; 3 Exploratory Data Analysis and Graphic Display; 4 ANOVA: Experimental Layout and Analysis; 5 ANOVA and ANCOVA: Field Competition Experiments; 6 MANOVA: Multiple Response Variables and Multispecies Interactions; 7 ANCOVA: Nonparametric and Randomization Approaches; 8 Repeated-measures Analysis: Growth and Other Time-dependent Measures; 9 Time Series Intervention Analysis: Unreplicated Large-scale Experiments; 10 Nonlinear Curve Fitting: Predation and Functional Response Curves; 11 Logit Modeling and Logistic Regression: Aphids, Ants, and Plants12 Path Analysis: Pollination; 13 Failure-time Analysis: Studying Times to Events and Rates at Which Events Occur; 14 The Bootstrap and the Jackknife: Describing the Precision of Ecological Indices; 15 Spatial Statistics: Analysis of Field Experiments; 16 Mantel Tests: Spatial Structure in Field Experiments; 17 Bayesian Statistics: Estimating Plant Demographic Parameters; 18 Meta-analysis: Combining the Results of Independent Experiments; References; Index |
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2. |
Record Nr. |
UNINA9910784087203321 |
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Autore |
Mojtahed-Zadeh Pirouz |
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Titolo |
Small players of the Great Game [[electronic resource] ] : the settlement of Iran's eastern borderlands and the creation of Afghanistan / / Pirouz Mojtahed-Zadeh |
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Pubbl/distr/stampa |
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London ; ; New York, : RoutledgeCurzon, 2004 |
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ISBN |
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1-134-38377-0 |
0-203-34743-9 |
1-280-02549-2 |
0-203-48027-9 |
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Descrizione fisica |
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1 online resource (281 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Geopolitics - Asia, Central |
Afghanistan Boundaries |
Iran Boundaries |
Pakistan Boundaries |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 219-248) and index. |
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Nota di contenuto |
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Cover; Title; Copyright; Dedication; Contents; List of illustrations; Preface; Acknowledgements; Introduction; 1 The great game and its major players; 2 Small players: the Khozeimeh family; 3 Khozeimeh foreign relations; 4 The partitioning of Khorasan and the creation of Afghanistan; 5 The partitioning of Khorasan and Baluchistan and the emergence of modern boundaries; 6 The partitioning of Sistan and the evolution of boundaries with Afghanistan; Conclusion; Notes; Bibliography; Index |
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Sommario/riassunto |
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This book deals with the 19th century Anglo-Russian Great Game played out on the territorial chessboard of eastern and north-eastern parts of the waning Persian empire. The Great Game itself has been written about extensively, but never from a Persian angle and from the point of view of the local players in that game. Looking at the territorial consequences of the Great Game for the local players is a unique approach, which deserves a special place in the studies of history, geography, politics and geopolitics of the age of modernity. |
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3. |
Record Nr. |
UNINA9910735777003321 |
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Autore |
Schön Dietmar |
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Titolo |
Planning and Reporting in BI-supported Controlling : Fundamentals, Business Intelligence, Mobile BI, Big Data Analytics and AI / / by Dietmar Schön |
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Pubbl/distr/stampa |
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Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (629 pages) |
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Disciplina |
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Soggetti |
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Accounting |
Financial statements |
Management |
Quantitative research |
Financial Reporting |
Financial Accounting |
Data Analysis and Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Basics -- Technical content -- Organization and processes -- IT support -- Summary and outlook. |
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Sommario/riassunto |
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Planning and reporting solutions in many companies still suffer from poor data quality, are insufficiently integrated and are often time and cost intensive. Step by step, this practice-oriented book shows how things can be done differently. It systematically shows how modern planning and reporting systems in BI-supported controlling can be set up with the use of data warehouse and big data technology and usefully supplemented with AI-supported features. For the 4th edition, the book has been comprehensively updated. The extensive controlling cockpit example has been expanded. It now contains suggestions for the areas of corporate management (operational and strategic controlling), sales, production, purchasing and project management. In addition, the latest developments in BI-supported controlling with the support of traditional and explorative BI are highlighted, including data |
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mining, predictive analytics, artificial intelligence, RPA, chatbots, data discovery, data visualization, app technology, self-service BI and cloud computing. Further innovations concern the topics of data quality and data modeling. The final chapter is "Mobile BI", which deals with the expansion of powerful mobile analysis and planning solutions with the help of tablets, mobile phones and other mobile devices. The content Basics of planning and reporting Proposals for management-specific and content-related design Organization and processes IT Implementation: Data Warehouse, Business Intelligence, Big Data, AI, RPA, Chatbots, Data Mining, Predictive Analytics, Data Discovery, Data Visualization, App Technology, Self-Service BI, Cloud Computing, Mobile BI The author Dietmar Schön is a professor at the University of Applied Sciences Dortmund with a focus on controlling and business intelligence. Due to his many years of corporate and consulting work, he has extensive experience from numerous planning andreporting projects. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. |
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