Materias: “…Fortuny, M. Exposicons…”

Materias: “…M.S.V (o La sangre y la ceniza)…”

Materias: “…Historia de España. Los atentados del 11-M…”

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Tabla de Contenidos: “…Machine generated contents note: Preface Part One: The Big Picture Chapter 1: The Global M&A Market Chapter 2: Comparing M&A Trends in the U.S. and Other Nations Chapter 3: The Buyer's Viewpoint Chapter 4: Three Financial Tactics Part Two: Finding a Deal Chapter 5: Finding a Deal: The Importance of a Plan Chapter 6: Finding a Deal: Defining the Search Parameters Chapter 7: Finding a Deal: Starting the Search Chapter 8: Finding a Deal: Likely Results of a Search Chapter 9: Key Risks Part Three: Target Financial Analysis Chapter 10: Historical Financial Analysis Chapter 11: Company Classifications Chapter 12: Financial Projections, Stand-Alone Part Four: Acquisition Valuation Chapter 13: Valuation Methodologies Chapter 14: Discounted Cash Flow in M&A Valuation Chapter 15: Comparable Public Companies and Valuation Chapter 16: Comparable M&A Deals, Leveraged Buyouts and Valuation Chapter 17: Special Cases in Valuation Part Five: Combination, the Sale Process, Structures and Special Situations Chapter 18: Buyer and Seller Financial Combination Chapter 19: When to Sell a Company or Division Chapter 20: Going through a Sale Process Chapter 21: Legal and Tax Structures Chapter 22: Special Situations Chapter 23: Final Thoughts About the Author Index…”

Tabla de Contenidos: “…Salam, Generation M! -- Introduction: the rise of Generation M 5 -- Their influence as the 'third billion' and why we need to pay attention 5 -- Chapter 2: Global trends shaping the emergence of Generation M 12 -- Creativity born of constraints 12 -- Chapter 3: Meet Generation M! …”

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Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Limitations of classic statistics and motivation -- 1.1 Limitations of classic statistics -- 1.1.1 Mean -- 1.1.2 Unbiasedness -- 1.1.3 Limitations of equal‐tail statistical inference -- 1.2 The rationale for a new statistical theory -- 1.3 Motivating example: normal variance -- 1.3.1 Confidence interval for the normal variance -- 1.3.2 Hypothesis testing for the variance -- 1.3.3 MC and MO estimators of the variance -- 1.3.4 Sample size determination for variance -- 1.4 Neyman‐Pearson lemma and its extensions -- 1.4.1 Introduction -- 1.4.2 Two lemmas -- References -- Chapter 2 Maximum concentration statistics -- 2.1 Assumptions -- 2.2 Short confidence interval and MC estimator -- 2.3 Density level test -- 2.4 Efficiency and the sufficient statistic -- 2.5 Parameter is positive or belongs to a finite interval -- 2.5.1 Parameter is positive -- 2.5.2 Parameter belongs to a finite interval -- References -- Chapter 3 Mode statistics -- 3.1 Unbiased test -- 3.2 Unbiased CI and MO estimator -- 3.3 Cumulative information and the sufficient statistic -- References -- Chapter 4 P‐value and duality -- 4.1 P‐value for the double‐sided hypothesis -- 4.1.1 General definition -- 4.1.2 P‐value for normal variance -- 4.2 The overall powerful test -- 4.3 Duality: converting the CI into a hypothesis test -- 4.4 Bypassing assumptions -- 4.5 Overview -- References -- Chapter 5 M‐statistics for major statistical parameters -- 5.1 Exact statistical inference for standard deviation -- 5.1.1 MC‐statistics -- 5.1.2 MC‐statistics on the log scale -- 5.1.3 MO‐statistics -- 5.1.4 Computation of the p‐value -- 5.2 Pareto distribution -- 5.2.1 Confidence intervals -- 5.2.2 Hypothesis testing -- 5.3 Coefficient of variation for lognormal distribution -- 5.4 Statistical testing for two variances…”

Materias: “…Hérbert, M.…”

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Tabla de Contenidos: “…Johannes de Sacro Bosco (m. ca. 1256) Opuscul ̄u de sphera m ̄udi Ioannis de sacro busto / c ̄u additionib[us] [et] familiarissimo c ̄om ̄etario Petri Ciruelli Daroc ̄esis ; nunc recenter correctis a suo autore ; intersertis eti ̄a egregijs questionib[us] d ̄ni Petri de Aliaco.-- Fuit excussum ... in Alma Complutensi Vniuersitate : apud Michaelem de Eguia, 1526 die vero decimaquinta Decembris. -- lxxiij, [1] h. : il. ; Fol…”