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Statistics for experimenters an introduction to design, data analysis, and model building

Por: Colaborador(es): Tipo de material: TextoTextoDetalles de publicación: New York John Wiley c. 1978Edición: 1st? edDescripción: 653 p. cuadros, gráficosISBN:
  • 0-471-09315-7
Contenidos:
<a href="https://biblio-intra.frh.utn.edu.ar/opac-tmpl/bootstrap/indices/5554.pdf" target="_blank">Indice Alfabético </a>
Science and statistics
Science and statistics
Use of external reference distribution to compare two means.
Random sampling and the declaration of independence.
Randomization and blocking with paired comparisons.
Significance tests and confidence intervals for means, variances, proportions, and frequences.
Experiments to compare k treatment means.
Randomized blocks and two-way factorial designs.
Designs with more than one blocking variable.
Empirical modeling
Factorial designs at two levels.
More applications of factorial designs
Fractional factorial designs at two levels.
More applications of fractional factorial designs.
Simple modelling with least squares (regression analysis).
Response surface methods.
Mechanistic model building.
Study of variation.
Modeling dependence : time series.
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Libro Libro Biblioteca Dr. Jorge S. Muntaner Coll 519.2:001.8=111 (Navegar estantería(Abre debajo)) Disponible 004394

La obra está organizada en cuatro partes; 1) Comparing two treatments; 2) Comparing more than two treatments; 3) Measuring the effects of variables; 4) Building models and using them. Problemas: al final de cada parte

Apéndice con tablas e índice alfabético p. 629-653.

<a href="https://biblio-intra.frh.utn.edu.ar/opac-tmpl/bootstrap/indices/5554.pdf" target="_blank">Indice Alfabético </a>

Science and statistics

Science and statistics

Use of external reference distribution to compare two means.

Random sampling and the declaration of independence.

Randomization and blocking with paired comparisons.

Significance tests and confidence intervals for means, variances, proportions, and frequences.

Experiments to compare k treatment means.

Randomized blocks and two-way factorial designs.

Designs with more than one blocking variable.

Empirical modeling

Factorial designs at two levels.

More applications of factorial designs

Fractional factorial designs at two levels.

More applications of fractional factorial designs.

Simple modelling with least squares (regression analysis).

Response surface methods.

Mechanistic model building.

Study of variation.

Modeling dependence : time series.

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