Resumen. Se analizan de forma detallada las bases del muestreo multietápico, la estimación de submuestreo y el muestreo de respuesta aleatoria. Se presentan las ecuaciones pertinentes ejemplificando por medio de casos reales. También se argumentan las situaciones en donde se debe utilizar estos casos específicos. Palabras claves. Caso multietápico, muestreo de respuesta aleatoria, submuestreo.. The basics of multi-stage sampling, sub-sampling and random response sampling are analyzed. Detailed equations regarding these types of sampling are provided. The applications of these types of (...) samplings are denoted by means of real case studies. Keywords. Multi-stage sampling, sub-sampling, random response sampling. (shrink)

Resumen. Se presentan los conceptos básicos de muestreo secuencial en sus cinco modalidades,incluyendo muestreo secuencial de tipo estándar, usando solo una densidad crítica, por una precisiónfija, por medio de presencia-ausencia y finalmente de tipo temporal. Se notan un ejemplo real para cadacaso. Se nota y se explica la importancia de la distribución de los datos y los pertinentes ecuaciones. Sepresentan a través de ejemplos reales las ecuaciones para estimar el tamaño óptimo de la muestra paracada uno de las cinco modalidades (...) del muestreo secuencial. Se enfatiza la ventaja económica de estetipo de muestreo.Palabras clave: Distribución de los datos, muestreo secuencial, tamaño óptimo de la muestra. Fundamental concepts of sequential sampling in all its types including standard sequentialsampling, sequential sampling using only one critical density, fixed precision sequential sampling,presence-absence sequential sampling, and time sequential sampling are highlighted. A real caseexample for each of the five sequential samplings is given. The relevance of data distribution forsequential sampling along with corresponding equations is provided and explained. Equations to assessthe optimal sample size for each case are noted and exemplified. The economic advantages of sequentialsampling in stressedKeywords: Data distribution, sample size, sequential sampling. (shrink)

Palabras claves. Métodos estadísticos, pruebas de hipótesisResumen. Se presentan de forma simple, breve y por medios de los ejemplos prácticos, los métodos estadísticos que sirven para demostrar la representatividad de una, dos o varias muestras basada en los parámetros poblacionales . Se indican la manera de reducir el tamaño del error experimental para aclarar el efecto significativo de los grupos o muestras bajo el interés . Además, se demuestran la forma de eliminar el efecto de las variables auxiliares o colaterales (...) causante del ruido o error en la estadística . También se nota el uso del modelo ANOVA Anidada para indicar la forma de segmentar la ANOVA en varias partes y de esta manera poder contestar preguntas más complejas. Finalmente, se describen e explican la forma de optimizar los recursos en la conducción de los experimentos y descubrir el efecto de la interacción entre las variables .Keywords. Hypothesis testing, statistical methods. Statistical methods that serve to represent, based upon population parameters of mean and variance, for one, tow or various samples taken from study populations are discussed. Ways to reduce the amount of experimental error in order to clarify the real effect of the treatments are demonstrated . The use of Covariance Analysis to show the pure effect of treatment free from the effect of collateral variables is also indicated. Nested ANOVA that allows division of ANOVA in several parts in order to answer complex questions is described and explained. Finally, the utility of Factorial Analysis for optimization of resource use as well as the illustration of interaction effects are noted and analyzed. (shrink)

Reumen. Se describen las bases del muestreo conglomerado y muestreo sistemático. Se presentan lasecuaciones pertinentes y aquellas para la estimación del tamaño óptimo de muestreo para cada tipo demuestreo. Se demuestra la aplicación práctica de éstos clases de muestreo por medio de ejemplosreales.Palabras claves. Muestreo conglomerado, muestreo sistemático, tamaño óptimo de la muestra.. Cluster sampling and systematic sampling are described and their equations are provided.Real examples are given in order to show the applications of these types of samplings. Equations toestimate (...) optimal sample sizes are also noted.Keywords. Cluster sampling, optimal sample size, systematic sampling. (shrink)

Juan B. Justo en la historia y el pensamiento argentinos, por A. Solari.--Teoría y práctica de la historia, por M. H. Alberti.--La base biológica de la historia, por F. Escardó.--La técnica, por A. Justo.--La economía, por R. Bogliolo.--La guerra, por A. G. Rodríguez.--La política, por A. Ghioldi.--La lucha de ciases, por R. Mondolfo.--El salariado, por M. Palacín.--Las formas típicas del privilegio, por J. L. Pena.--El gremialismo proletario, por E. Frugoni.--La cooperación libre, por N. Repetto.--La democracia obrera, por L. Pan.--La religión, (...) la cilencia, el arte, por R. Rivière. (shrink)

Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) the solution to the formulated problem. One can solve a problem on its own using ad hoc techniques or by following techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them. Algorithms: Design Techniques and (...) Analysis advocates the study of algorithm design by presenting the most useful techniques and illustrating them with numerous examples -- emphasizing on design techniques in problem solving rather than algorithms topics like searching and sorting. Algorithmic analysis in connection with example algorithms are explored in detail. Each technique or strategy is covered in its own chapter through numerous examples of problems and their algorithms. Readers will be equipped with problem solving tools needed in advanced courses or research in science and engineering. (shrink)

The term "interest" lacks a precise antonym. In English, we have "disinterested" and "uninteresting," but we want for a term that denotes robust opposition to interest. The same appears to hold true in every other language (as far as we know). Interest's missing antonym reflects not merely a widespread lexical oversight, but a misrecognition of interest's complete and exact meaning. More importantly, the idea that interest has no opposite expresses a certain refusal to acknowledge the power of the impulse to (...) extinguish interest, for the self and for others. Why then do we foreclose interest's possibility, degrade our (and others') capacities to experience interest, and destroy interest's objects? Why do we decline what interest proffers - which includes creative and subjective being, thinking, and relating - in favor of more primitive modes of survival, thoughtlessness, and nonbeing? Why do relationships - with ourselves, with others, with objects - toward which genuine interest draws us seem sometimes, if not often, unbearable? These questions are difficult. Their answers, even more so. Misinterest: Essays, Pensées, and Dreams attempts to approach them in an honest way, without making them fascinating, mysterious, boring, obscurantist, or fascinatingly mysteriously boringly obscurantist. Outwardly, Misinterest is concerned with dreams and forgetting and Eros and soaring dogs and groups and suicidal suburban teenagers and sex and jury duty and Nazis and fathers and hatred and holy parrots and fundamentalists and plagues and other things that may or may not be interesting. Ultimately, however, it seeks, like Jules Renard, "en restant exact" (in remaining true/real), to shed light on the establishment of misinterest, missingness, and mystery where and when they need not be, and, thus, on the psychic, familial, and political forces that compel us not to be when and where we ought. (shrink)

Exploring the darkest side of organizations may have a potential to change our previous assumptions about business life. Scholars both in management and organizational research fields have shown interest in the "bright" side of behavioral life and have looked for the ways to create a positive organizational climate and assumed a positive relation between happiness of employees and productivity. These main assumptions of the Human Relations School have dominated the scientific inquiry on organizational behavior. However, "the dark side of organizational (...) life" may have more explanatory power than "the bright side". Hostility, jealousy, envy, rivalry, gossip, problematic personalities, dislike, revenge, and social exclusion are the realities of business life. A manager may devote most of their time to cope with conflicts, deviant behaviors, ambitious individuals, gossips, and dysfunctional rivalry among employees. It is evident that negative events and interactions among employees cost more time and energy for a manager than the positive side of organizational life. This edited collection specifically focuses on these issues and will be of interest to researchers, academics, and advanced students in the fields of management, organizational studies and behavior, sociology, social psychology, and human resource management. (shrink)

That brings me to the crux of my disagreement with Hillis Miller. The central contention is not simply that I am sometimes, or always, wrong in my interpretation, but instead that I—like other traditional historians—can never be right in my interpretation. For Miller assents to Nietzsche's challenge of "the concept of 'rightness' in interpretation," and to Nietzsche's assertion that "the same text authorizes innumerable interpretations : there is no 'correct' interpretation."1 Nietzsche's views of interpretation, as Miller says, are relevant to (...) the recent deconstructive theorists, including Jacques Derrida and himself, who have "reinterpreted Nietzsche" or have written "directly or indirectly under his aegis." He goes on to quote a number of statements from Nietzsche's The Will to Power to the effect, as Miller puts it, "that reading is never the objective identifying of a sense but the importation of meaning into a text which had no meaning 'in itself.'" For example: "Ultimately, man finds in things nothing but what he himself has imported into them." "In fact interpretation is itself a means of becoming master of something."2 On the face of it, such sweeping deconstructive claims might suggest those of Lewis Carroll's linguistic philosopher, who asserted that meaning is imported into a text by the interpreter's will to power: "The question is," said Alice, "whether you can make words mean so many different things.""The question is," said Humpty Dumpty, "which is to be master—that's all." But of course I don't believe that such deconstructive claims are, in Humpty Dumpty fashion, simply dogmatic assertions. Instead, they are conclusions which are derived from particular linguistic premises. I want, in the time remaining, to present what I make out to be the elected linguistic premises, first of Jacques Derrida, then of Hillis Miller, in the confidence that if I misinterpret these theories, my errors will soon be challenged and corrected. Let me eliminate suspense by saying at the beginning that I don't think that their radically skeptical conclusions from these premises are wrong. On the contrary, I believe that their conclusions are right—in fact, they are infallibly right, and that's where the trouble lies. · 1. "Tradition and Difference," Diacritics 2 : 8, 12.· 2. Ibid. M. H. Abrams’s contributions to Critical Inquiry include "Rationality and Imagination in Cultural History: A Reply to Wayne Booth" and "Behaviorism and Deconstruction: A Comment on Morse Peckham's 'The Infinitude of Pluralism'". (shrink)