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  • Sách/Book


  • Authors: Hannelore Liero (2011)

  • Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory

  • Sách/Book


  • Authors: Paul C. Cozby (2011)

  • Highlights of the new edition include a broader introduction of different research techniques in Chapter 4, extensive revision of the 'validity of measurements' section, and updated structural equations models.

  • Sách/Book


  • Authors: Johannes Jahn (2011)

  • The theory is extended to set optimization with particular emphasis on contingent epiderivatives, subgradients and optimality conditions. Background material of convex analysis being necessary is concisely summarized at the beginning.